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innovation-lab-examples
A curated collection of comprehensive Fetch.ai Innovation Lab examples, showcasing advanced use cases and detailed implementations beyond the main documentation.
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Python
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from .research_agent import ResearchAgentExecutor from .coding_agent import CodingAgentExecutor from .analysis_agent import AnalysisAgentExecutor __all__ = [ "ResearchAgentExecutor", "CodingAgentExecutor", "AnalysisAgentExecutor" ]
fetchai/innovation-lab-examples
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fetchai
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A curated collection of comprehensive Fetch.ai Innovation Lab examples, showcasing advanced use cases and detailed implementations beyond the main documentation.
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import os import json import requests from dotenv import load_dotenv from a2a.server.agent_execution import AgentExecutor, RequestContext from a2a.server.events import EventQueue from a2a.types import Part, TextPart from a2a.utils import new_agent_text_message from typing_extensions import override # Load environment ...
foamliu/Deep-Image-Matting
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import math import time import cv2 as cv import numpy as np from tqdm import tqdm ############################################################## # Set your paths here # path to provided foreground images fg_path = 'data/fg_test/' # path to provided alpha mattes a_path = 'data/mask_test/' # Path to background images...
foamliu/Deep-Image-Matting
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import math import time import cv2 as cv import numpy as np from tqdm import tqdm ############################################################## # Set your paths here # path to provided foreground images fg_path = 'data/fg/' # path to provided alpha mattes a_path = 'data/mask/' # Path to background images (MSCOCO) ...
foamliu/Deep-Image-Matting
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foamliu/Deep-Image-Matting
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Python
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from keras.layers.core import Layer from keras.engine import InputSpec from keras import backend as K try: from keras import initializations except ImportError: from keras import initializers as initializations class Scale(Layer): '''Learns a set of weights and biases used for scaling the input data. t...
foamliu/Deep-Image-Matting
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from keras import backend as K from keras.engine.topology import Layer from keras.layers import Lambda, Multiply class Unpooling(Layer): def __init__(self, **kwargs): super(Unpooling, self).__init__(**kwargs) def build(self, input_shape): super(Unpooling, self).build(input_shape) def ca...
foamliu/Deep-Image-Matting
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import math import os import random import cv2 as cv import keras.backend as K import numpy as np from data_generator import generate_trimap, random_choice, get_alpha_test from model import build_encoder_decoder, build_refinement from utils import compute_mse_loss, compute_sad_loss from utils import get_final_output,...
foamliu/Deep-Image-Matting
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foamliu
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import keras.backend as K import numpy as np from config import channel from model import build_encoder_decoder from vgg16 import vgg16_model def migrate_model(new_model): old_model = vgg16_model(224, 224, 3) # print(old_model.summary()) old_layers = [l for l in old_model.layers] new_layers = [l for ...
foamliu/Deep-Image-Matting
https://github.com/foamliu/Deep-Image-Matting
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Deep Image Matting
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import keras.backend as K import tensorflow as tf from keras.layers import Input, Conv2D, UpSampling2D, BatchNormalization, ZeroPadding2D, MaxPooling2D, Concatenate, \ Reshape, Lambda from keras.models import Model from keras.utils import multi_gpu_model from keras.utils import plot_model from custom_layers.unpool...
foamliu/Deep-Image-Matting
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foamliu
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Python
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# dependency: pip install pydot & brew install graphviz from model import build_encoder_decoder from keras.utils import plot_model if __name__ == '__main__': img_rows, img_cols = 320, 320 channel = 3 model = build_encoder_decoder(img_rows, img_cols, channel) plot_model(model, to_file='model.svg', show_...
foamliu/Deep-Image-Matting
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# -*- coding: utf-8 -*- import os import shutil import zipfile import tarfile from Combined_Dataset.Training_set.Composition_code_revised import do_composite from Combined_Dataset.Test_set.Composition_code_revised import do_composite_test if __name__ == '__main__': # path to provided foreground images fg_pat...
foamliu/Deep-Image-Matting
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# -*- coding: utf-8 -*- import cv2 as cv import keras.backend as K import numpy as np from model import build_encoder_decoder, build_refinement from utils import get_final_output, create_patches, patch_dims, assemble_patches import tensorflow as tf import time config = tf.ConfigProto(device_count = {"GPU": 1, "CPU": ...
foamliu/Deep-Image-Matting
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import keras.backend as K import tensorflow as tf from keras.layers import Input, Conv2D, UpSampling2D, BatchNormalization, ZeroPadding2D, MaxPooling2D, Reshape, \ Concatenate, Lambda from keras.models import Model from keras.utils import multi_gpu_model from keras.utils import plot_model from custom_layers.unpool...
foamliu/Deep-Image-Matting
https://github.com/foamliu/Deep-Image-Matting
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import argparse import cv2 as cv import numpy as np from model import build_encoder_decoder, build_refinement from utils import get_final_output # python test.py -i "images/image.png" -t "images/trimap.png" if __name__ == '__main__': img_rows, img_cols = 320, 320 channel = 4 model_weights_path = 'models...
foamliu/Deep-Image-Matting
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import os import cv2 as cv import numpy as np from model import build_encoder_decoder, build_refinement if __name__ == '__main__': pretrained_path = 'models/final.42-0.0398.hdf5' encoder_decoder = build_encoder_decoder() final = build_refinement(encoder_decoder) final.load_weights(pretrained_path) ...
foamliu/Deep-Image-Matting
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foamliu/Deep-Image-Matting
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import argparse import keras import tensorflow as tf from keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau from keras.utils import multi_gpu_model from config import patience, batch_size, epochs, num_train_samples, num_valid_samples from data_generator import train_gen, valid_gen from model im...
foamliu/Deep-Image-Matting
https://github.com/foamliu/Deep-Image-Matting
https://api.github.com/repos/foamliu/Deep-Image-Matting
foamliu
Deep-Image-Matting
Deep Image Matting
991
258
991
mit
master
2018-04-16T03:26:31
2026-05-01T02:36:57
[ "computer-vision", "deep-learning", "matting" ]
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false
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Python
2026-05-04T01:26:17.586293
import keras from keras.callbacks import ModelCheckpoint, EarlyStopping, ReduceLROnPlateau from keras.optimizers import SGD from config import patience, batch_size, epochs, num_train_samples, num_valid_samples from data_generator import train_gen, valid_gen from model import build_encoder_decoder, build_refinement fro...
foamliu/Deep-Image-Matting
https://github.com/foamliu/Deep-Image-Matting
https://api.github.com/repos/foamliu/Deep-Image-Matting
foamliu
Deep-Image-Matting
Deep Image Matting
991
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991
mit
master
2018-04-16T03:26:31
2026-05-01T02:36:57
[ "computer-vision", "deep-learning", "matting" ]
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Python
2026-05-04T01:26:18.984713
import random import unittest import cv2 as cv import numpy as np import os from config import unknown_code from data_generator import generate_trimap from data_generator import get_alpha from data_generator import random_choice from utils import safe_crop class TestStringMethods(unittest.TestCase): def test_ge...
foamliu/Deep-Image-Matting
https://github.com/foamliu/Deep-Image-Matting
https://api.github.com/repos/foamliu/Deep-Image-Matting
foamliu
Deep-Image-Matting
Deep Image Matting
991
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mit
master
2018-04-16T03:26:31
2026-05-01T02:36:57
[ "computer-vision", "deep-learning", "matting" ]
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utils.py
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Python
2026-05-04T01:26:20.348530
import multiprocessing import math import cv2 as cv import keras.backend as K import numpy as np from tensorflow.python.client import device_lib from config import epsilon, epsilon_sqr from config import img_cols from config import img_rows from config import unknown_code # overall loss: weighted summation of the tw...
foamliu/Deep-Image-Matting
https://github.com/foamliu/Deep-Image-Matting
https://api.github.com/repos/foamliu/Deep-Image-Matting
foamliu
Deep-Image-Matting
Deep Image Matting
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mit
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vgg16.py
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Python
2026-05-04T01:26:21.678664
# -*- coding: utf-8 -*- import keras.backend as K from keras.layers import Conv2D, ZeroPadding2D, MaxPooling2D from keras.layers import Dense, Dropout, Flatten from keras.models import Sequential def vgg16_model(img_rows, img_cols, channel=3): model = Sequential() # Encoder model.add(ZeroPadding2D((1, 1)...
cburmeister/flask-bones
https://github.com/cburmeister/flask-bones
https://api.github.com/repos/cburmeister/flask-bones
cburmeister
flask-bones
An example of a large scale Flask application using blueprints and extensions.
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mit
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Python
2026-05-04T01:26:26.187386
import time from flask import Flask, g, render_template, request import arrow import requests from app import config from app.assets import assets from app.auth import auth from app.commands import create_db, drop_db, populate_db, recreate_db from app.database import db from app.extensions import lm, travis, mail, mi...
cburmeister/flask-bones
https://github.com/cburmeister/flask-bones
https://api.github.com/repos/cburmeister/flask-bones
cburmeister
flask-bones
An example of a large scale Flask application using blueprints and extensions.
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mit
master
2013-05-26T06:47:04
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app/assets.py
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Python
2026-05-04T01:26:27.514281
from flask_assets import Bundle, Environment, Filter class ConcatFilter(Filter): """ Filter that merges files, placing a semicolon between them. Fixes issues caused by missing semicolons at end of JS assets, for example with last statement of jquery.pjax.js. """ def concat(self, out, hunks, **...
cburmeister/flask-bones
https://github.com/cburmeister/flask-bones
https://api.github.com/repos/cburmeister/flask-bones
cburmeister
flask-bones
An example of a large scale Flask application using blueprints and extensions.
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mit
master
2013-05-26T06:47:04
2026-04-02T08:31:03
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app/auth/__init__.py
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Python
2026-05-04T01:26:28.845355
from flask import Blueprint auth = Blueprint('auth', __name__, template_folder='templates') from . import views
cburmeister/flask-bones
https://github.com/cburmeister/flask-bones
https://api.github.com/repos/cburmeister/flask-bones
cburmeister
flask-bones
An example of a large scale Flask application using blueprints and extensions.
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mit
master
2013-05-26T06:47:04
2026-04-02T08:31:03
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app/auth/forms.py
forms.py
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Python
2026-05-04T01:26:30.109559
from flask_wtf import Form from flask_babel import gettext from wtforms import TextField, PasswordField from wtforms.validators import DataRequired from app.user.models import User class LoginForm(Form): username = TextField(gettext('Username'), validators=[DataRequired()]) password = PasswordField(gettext('...
cburmeister/flask-bones
https://github.com/cburmeister/flask-bones
https://api.github.com/repos/cburmeister/flask-bones
cburmeister
flask-bones
An example of a large scale Flask application using blueprints and extensions.
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mit
master
2013-05-26T06:47:04
2026-04-02T08:31:03
[ "alembic", "babel", "docker", "flask", "rq", "sqlalchemy", "travis-ci", "yarn" ]
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app/auth/views.py
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Python
2026-05-04T01:26:31.405588
from flask import ( current_app, request, redirect, url_for, render_template, flash, abort, ) from flask_babel import gettext from flask_login import login_user, login_required, logout_user from itsdangerous import URLSafeSerializer, BadSignature from app.extensions import lm from app.jobs import send_registration_...
cburmeister/flask-bones
https://github.com/cburmeister/flask-bones
https://api.github.com/repos/cburmeister/flask-bones
cburmeister
flask-bones
An example of a large scale Flask application using blueprints and extensions.
991
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mit
master
2013-05-26T06:47:04
2026-04-02T08:31:03
[ "alembic", "babel", "docker", "flask", "rq", "sqlalchemy", "travis-ci", "yarn" ]
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false
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app/commands.py
commands.py
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Python
2026-05-04T01:26:32.735771
from faker import Faker import click from app.database import db from app.user.models import User @click.option('--num_users', default=5, help='Number of users.') def populate_db(num_users): """Populates the database with seed data.""" fake = Faker() users = [] for _ in range(num_users): user...
cburmeister/flask-bones
https://github.com/cburmeister/flask-bones
https://api.github.com/repos/cburmeister/flask-bones
cburmeister
flask-bones
An example of a large scale Flask application using blueprints and extensions.
991
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mit
master
2013-05-26T06:47:04
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app/config.py
config.py
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Python
2026-05-04T01:26:33.894419
import os class base_config(object): """Default configuration options.""" SITE_NAME = os.environ.get('APP_NAME', 'Flask Bones') SECRET_KEY = os.environ.get('SECRET_KEY', 'secrets') SERVER_NAME = os.environ.get('SERVER_NAME', 'app.docker:5000') MAIL_SERVER = os.environ.get('MAIL_SERVER', 'mail') ...
cburmeister/flask-bones
https://github.com/cburmeister/flask-bones
https://api.github.com/repos/cburmeister/flask-bones
cburmeister
flask-bones
An example of a large scale Flask application using blueprints and extensions.
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mit
master
2013-05-26T06:47:04
2026-04-02T08:31:03
[ "alembic", "babel", "docker", "flask", "rq", "sqlalchemy", "travis-ci", "yarn" ]
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app/database.py
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Python
2026-05-04T01:26:35.193863
from flask_sqlalchemy import SQLAlchemy from sqlalchemy import or_ db = SQLAlchemy() class CRUDMixin(object): __table_args__ = {'extend_existing': True} id = db.Column(db.Integer, primary_key=True) @classmethod def get_by_id(cls, id): if any((isinstance(id, str) and id.isdigit(), ...
cburmeister/flask-bones
https://github.com/cburmeister/flask-bones
https://api.github.com/repos/cburmeister/flask-bones
cburmeister
flask-bones
An example of a large scale Flask application using blueprints and extensions.
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mit
master
2013-05-26T06:47:04
2026-04-02T08:31:03
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app/extensions.py
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Python
2026-05-04T01:26:36.421237
from flask_assets import Environment from flask_babel import Babel from flask_bcrypt import Bcrypt from flask_limiter import Limiter from flask_limiter.util import get_remote_address from flask_login import LoginManager from flask_mail import Mail from flask_migrate import Migrate from flask_rq2 import RQ from flask_tr...
cburmeister/flask-bones
https://github.com/cburmeister/flask-bones
https://api.github.com/repos/cburmeister/flask-bones
cburmeister
flask-bones
An example of a large scale Flask application using blueprints and extensions.
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mit
master
2013-05-26T06:47:04
2026-04-02T08:31:03
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app/jobs.py
jobs.py
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Python
2026-05-04T01:26:37.547584
from flask import render_template from flask_mail import Message from app.extensions import mail, rq from app.user.models import User @rq.job def send_registration_email(uid, token): """Sends a registratiion email to the given uid.""" user = User.query.filter_by(id=uid).first() msg = Message( 'Us...
cburmeister/flask-bones
https://github.com/cburmeister/flask-bones
https://api.github.com/repos/cburmeister/flask-bones
cburmeister
flask-bones
An example of a large scale Flask application using blueprints and extensions.
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991
mit
master
2013-05-26T06:47:04
2026-04-02T08:31:03
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app/user/__init__.py
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Python
2026-05-04T01:26:38.950774
from flask import Blueprint user = Blueprint('user', __name__, template_folder='templates') from . import views
cburmeister/flask-bones
https://github.com/cburmeister/flask-bones
https://api.github.com/repos/cburmeister/flask-bones
cburmeister
flask-bones
An example of a large scale Flask application using blueprints and extensions.
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991
mit
master
2013-05-26T06:47:04
2026-04-02T08:31:03
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app/user/forms.py
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Python
2026-05-04T01:26:40.299946
from flask_wtf import Form from flask_babel import gettext from wtforms import TextField, PasswordField, BooleanField from wtforms.validators import DataRequired, Email, EqualTo, Length from app.user.models import User class UserForm(Form): username = TextField( gettext('Username'), validators=[DataRequir...
cburmeister/flask-bones
https://github.com/cburmeister/flask-bones
https://api.github.com/repos/cburmeister/flask-bones
cburmeister
flask-bones
An example of a large scale Flask application using blueprints and extensions.
991
122
991
mit
master
2013-05-26T06:47:04
2026-04-02T08:31:03
[ "alembic", "babel", "docker", "flask", "rq", "sqlalchemy", "travis-ci", "yarn" ]
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app/user/models.py
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Python
2026-05-04T01:26:41.643306
import datetime from flask_login import UserMixin from app.database import db, CRUDMixin from app.extensions import bcrypt class User(CRUDMixin, UserMixin, db.Model): id = db.Column(db.Integer, primary_key=True) username = db.Column(db.String(20), nullable=False, unique=True) email = db.Column(db.String...
cburmeister/flask-bones
https://github.com/cburmeister/flask-bones
https://api.github.com/repos/cburmeister/flask-bones
cburmeister
flask-bones
An example of a large scale Flask application using blueprints and extensions.
991
122
991
mit
master
2013-05-26T06:47:04
2026-04-02T08:31:03
[ "alembic", "babel", "docker", "flask", "rq", "sqlalchemy", "travis-ci", "yarn" ]
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app/user/views.py
views.py
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Python
2026-05-04T01:26:42.852411
from flask import request, redirect, url_for, render_template, flash, g from flask_babel import gettext from flask_login import login_required from app.user.models import User from .forms import EditUserForm from ..user import user @user.route('/list', methods=['GET', 'POST']) @login_required def list(): from a...
cburmeister/flask-bones
https://github.com/cburmeister/flask-bones
https://api.github.com/repos/cburmeister/flask-bones
cburmeister
flask-bones
An example of a large scale Flask application using blueprints and extensions.
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122
991
mit
master
2013-05-26T06:47:04
2026-04-02T08:31:03
[ "alembic", "babel", "docker", "flask", "rq", "sqlalchemy", "travis-ci", "yarn" ]
{ "Python": 27219, "HTML": 15308, "JavaScript": 568, "Mako": 412, "Makefile": 264, "Dockerfile": 248, "CSS": 214 }
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app/utils.py
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Python
2026-05-04T01:26:44.919361
from flask import request, url_for def url_for_other_page(**kwargs): """Returns a URL aimed at the current request endpoint and query args.""" url_for_args = request.args.copy() if 'pjax' in url_for_args: url_for_args.pop('_pjax') for key, value in kwargs.items(): url_for_args[key] = v...
cburmeister/flask-bones
https://github.com/cburmeister/flask-bones
https://api.github.com/repos/cburmeister/flask-bones
cburmeister
flask-bones
An example of a large scale Flask application using blueprints and extensions.
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mit
master
2013-05-26T06:47:04
2026-04-02T08:31:03
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migrations/env.py
env.py
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Python
2026-05-04T01:26:50.859696
from __future__ import with_statement from alembic import context from sqlalchemy import engine_from_config, pool from logging.config import fileConfig import logging # this is the Alembic Config object, which provides # access to the values within the .ini file in use. config = context.config # Interpret the config ...
cburmeister/flask-bones
https://github.com/cburmeister/flask-bones
https://api.github.com/repos/cburmeister/flask-bones
cburmeister
flask-bones
An example of a large scale Flask application using blueprints and extensions.
991
122
991
mit
master
2013-05-26T06:47:04
2026-04-02T08:31:03
[ "alembic", "babel", "docker", "flask", "rq", "sqlalchemy", "travis-ci", "yarn" ]
{ "Python": 27219, "HTML": 15308, "JavaScript": 568, "Mako": 412, "Makefile": 264, "Dockerfile": 248, "CSS": 214 }
false
17
migrations/versions/1fb7c6da302_.py
1fb7c6da302_.py
.py
967
https://github.com/cburmeister/flask-bones/blob/master/migrations/versions/1fb7c6da302_.py
https://raw.githubusercontent.com/cburmeister/flask-bones/master/migrations/versions/1fb7c6da302_.py
a55fccab4be465a49aa9d84b16aacaeddf28f63d
Python
2026-05-04T01:26:52.802557
"""Initial migration Revision ID: 1fb7c6da302 Revises: None Create Date: 2015-11-16 17:19:00.332397 """ # revision identifiers, used by Alembic. revision = '1fb7c6da302' down_revision = None from alembic import op import sqlalchemy as sa def upgrade(): op.create_table('user', sa.Column('id', sa.Intege...
cburmeister/flask-bones
https://github.com/cburmeister/flask-bones
https://api.github.com/repos/cburmeister/flask-bones
cburmeister
flask-bones
An example of a large scale Flask application using blueprints and extensions.
991
122
991
mit
master
2013-05-26T06:47:04
2026-04-02T08:31:03
[ "alembic", "babel", "docker", "flask", "rq", "sqlalchemy", "travis-ci", "yarn" ]
{ "Python": 27219, "HTML": 15308, "JavaScript": 568, "Mako": 412, "Makefile": 264, "Dockerfile": 248, "CSS": 214 }
false
17
tests.py
tests.py
.py
2,914
https://github.com/cburmeister/flask-bones/blob/master/tests.py
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a89038b2f30531fee7faa5c6d61c860e45cd400d
Python
2026-05-04T01:26:54.362788
from app import create_app from app.config import test_config from app.database import db from app.user.models import User from sqlalchemy.sql.expression import func from faker import Faker import unittest admin_username = 'cburmeister' admin_email = 'cburmeister@discogs.com' admin_password = 'test123' fake = Faker()...
olyble/callPhoneBoom
https://github.com/olyble/callPhoneBoom
https://api.github.com/repos/olyble/callPhoneBoom
olyble
callPhoneBoom
最新可用!!!夺命百连呼、电话轰炸、电话攻击(电话轰炸、可代替短信轰炸)、留言攻击工具
991
144
991
mit
main
2023-01-22T15:50:51
2026-05-03T10:52:28
[ "python", "python3" ]
{ "Python": 8096 }
false
38
Timefree.py
Timefree.py
.py
1,300
https://github.com/olyble/callPhoneBoom/blob/main/Timefree.py
https://raw.githubusercontent.com/olyble/callPhoneBoom/main/Timefree.py
958eb0fe5cb4e93ea7e2c1601efb7c6ca51c95b7
Python
2026-05-04T01:26:58.704583
#!/usr/bin/env python # -*- coding: utf-8 -*- # 1.引入 ActionChains 类 import time from selenium import webdriver from selenium.webdriver.common.by import By from selenium.webdriver.chrome.options import Options import schedule import random import os os.environ['WDM_LOG'] = "false" import main def job(): main.boom()...
olyble/callPhoneBoom
https://github.com/olyble/callPhoneBoom
https://api.github.com/repos/olyble/callPhoneBoom
olyble
callPhoneBoom
最新可用!!!夺命百连呼、电话轰炸、电话攻击(电话轰炸、可代替短信轰炸)、留言攻击工具
991
144
991
mit
main
2023-01-22T15:50:51
2026-05-03T10:52:28
[ "python", "python3" ]
{ "Python": 8096 }
false
38
catchad/catch.py
catch.py
.py
3,848
https://github.com/olyble/callPhoneBoom/blob/main/catchad/catch.py
https://raw.githubusercontent.com/olyble/callPhoneBoom/main/catchad/catch.py
a34cef56121415711ac415256542acd843309ecb
Python
2026-05-04T01:27:00.073037
import requests # 发送请求 import pandas as pd # 存入csv数据 import time # 等待间隔 import random # 随机 import re # 用正则表达式提取url import traceback pd.set_option('display.max_rows', 10000) pd.set_option('display.max_columns', 10000) pd.set_option('display.width', 10000) with open('citys.txt', encoding='utf-8') as f...
olyble/callPhoneBoom
https://github.com/olyble/callPhoneBoom
https://api.github.com/repos/olyble/callPhoneBoom
olyble
callPhoneBoom
最新可用!!!夺命百连呼、电话轰炸、电话攻击(电话轰炸、可代替短信轰炸)、留言攻击工具
991
144
991
mit
main
2023-01-22T15:50:51
2026-05-03T10:52:28
[ "python", "python3" ]
{ "Python": 8096 }
false
38
main.py
main.py
.py
2,593
https://github.com/olyble/callPhoneBoom/blob/main/main.py
https://raw.githubusercontent.com/olyble/callPhoneBoom/main/main.py
3339c4eee2b642bf989fd3485f958b262f9b6c0c
Python
2026-05-04T01:27:01.200301
#!/usr/bin/env python # -*- coding: utf-8 -*- from multiprocessing import Process, Queue import time from selenium.webdriver.support.ui import WebDriverWait from selenium.webdriver.support import expected_conditions as EC from selenium.webdriver.chrome.options import Options from selenium import webdriver from seleniu...
olyble/callPhoneBoom
https://github.com/olyble/callPhoneBoom
https://api.github.com/repos/olyble/callPhoneBoom
olyble
callPhoneBoom
最新可用!!!夺命百连呼、电话轰炸、电话攻击(电话轰炸、可代替短信轰炸)、留言攻击工具
991
144
991
mit
main
2023-01-22T15:50:51
2026-05-03T10:52:28
[ "python", "python3" ]
{ "Python": 8096 }
false
38
set.py
set.py
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355
https://github.com/olyble/callPhoneBoom/blob/main/set.py
https://raw.githubusercontent.com/olyble/callPhoneBoom/main/set.py
9a89e9822d4ea71bfc9fdd421c3fe94f944f025d
Python
2026-05-04T01:27:02.354867
from DrissionPage.easy_set import set_paths # 设置你的浏览器路径 # see: http://g1879.gitee.io/drissionpagedocs/get_start/before_start/ set_paths(browser_path=r'这里修改为您的浏览器可执行文件路径') # test : # from DrissionPage import ChromiumPage # page = ChromiumPage() # page.get('http://g1879.gitee.io/DrissionPageDocs')
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
adalomo/further-pretraining/evaluate.py
evaluate.py
.py
4,156
https://github.com/OpenLMLab/LOMO/blob/main/adalomo/further-pretraining/evaluate.py
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d5d50583cac06707d2226ec050407d09c25663bf
Python
2026-05-04T01:27:06.526240
from typing import Callable, Optional, Tuple, Any, Dict import torch from peft import PeftModel from torch import nn import torch.distributed as dist from collie import ColliePadder, GPTLMLoss, auto_param_call, BaseMetric from collie.module import PipelineModel from collie.controller.evaluator import Evaluator class...
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
adalomo/further-pretraining/train.py
train.py
.py
5,756
https://github.com/OpenLMLab/LOMO/blob/main/adalomo/further-pretraining/train.py
https://raw.githubusercontent.com/OpenLMLab/LOMO/main/adalomo/further-pretraining/train.py
ebfaa068d833a331dddad17df4d1c4df506bc9b8
Python
2026-05-04T01:27:08.059044
import argparse import json import torch from transformers import get_cosine_schedule_with_warmup, LlamaTokenizer from collie import EvalMonitor, PPLMetric, AccuracyMetric, EvaluatorForPerplexity, Callback from collie.config import CollieConfig from collie.controller.trainer import Trainer from collie.module import GP...
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
adalomo/instruction-tuning/train.py
train.py
.py
5,383
https://github.com/OpenLMLab/LOMO/blob/main/adalomo/instruction-tuning/train.py
https://raw.githubusercontent.com/OpenLMLab/LOMO/main/adalomo/instruction-tuning/train.py
988d2ba72a22f9be4dcedca485b164e6b7f71733
Python
2026-05-04T01:27:09.290741
import argparse import json import torch from peft import LoraConfig, TaskType from transformers import get_linear_schedule_with_warmup, LlamaTokenizer from collie.config import CollieConfig from collie.controller.trainer import Trainer from collie.module import GPTLMLoss from collie.log import logger from collie.opti...
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
lomo/log/handler.py
handler.py
.py
2,593
https://github.com/OpenLMLab/LOMO/blob/main/lomo/log/handler.py
https://raw.githubusercontent.com/OpenLMLab/LOMO/main/lomo/log/handler.py
40931c26913be048b715c3a72204f7b8ae41ae18
Python
2026-05-04T01:27:10.513199
import logging import sys from logging import getLevelName try: from tqdm.auto import tqdm except ImportError: tqdm = None __all__ = [] if tqdm is not None: class TqdmLoggingHandler(logging.Handler): def __init__(self, level=logging.INFO): super().__init__(level) def emit(sel...
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
lomo/log/highlighter.py
highlighter.py
.py
223
https://github.com/OpenLMLab/LOMO/blob/main/lomo/log/highlighter.py
https://raw.githubusercontent.com/OpenLMLab/LOMO/main/lomo/log/highlighter.py
eb363768bd5093b7a5c7356272beb2ce85a30a24
Python
2026-05-04T01:27:11.847395
from rich.highlighter import Highlighter __all__ = [] class ColorHighlighter(Highlighter): def __init__(self, color='black'): self.color = color def highlight(self, text): text.stylize(self.color)
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
lomo/log/logger.py
logger.py
.py
13,731
https://github.com/OpenLMLab/LOMO/blob/main/lomo/log/logger.py
https://raw.githubusercontent.com/OpenLMLab/LOMO/main/lomo/log/logger.py
b7a710a0befb4e80f0372b98decf674b66814f0b
Python
2026-05-04T01:27:13.126617
r""" :class:`Logger` 是记录日志的模块,**logger** 封装了 logging 模块的 Logger, 具体使用方式与直接使用 :class:`logging.Logger` 相同,同时也新增一些简单好用的API 使用方式:: # logger 可以和 logging.Logger 一样使用 logger.info('your msg') logger.error('your msg') # logger 新增的API # 将日志输出到文件,以及输出的日志等级 logger.add_file('/path/to/log', level='INFO') ...
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
lomo/log/print.py
print.py
.py
669
https://github.com/OpenLMLab/LOMO/blob/main/lomo/log/print.py
https://raw.githubusercontent.com/OpenLMLab/LOMO/main/lomo/log/print.py
40dc7b5efbf6f08e1ae6dd9fc73f71540357ea36
Python
2026-05-04T01:27:14.315815
__all__ = [ 'print' ] from logging import INFO from .logger import logger def print(*args, sep=' ', end='\n', file=None, flush=False): """ 用来重定向 print 函数至 logger.info 的函数。 :param args: 需要打印的内容 :param sep: 存在多个输入时,使用的间隔。 :param end: 该参数在当前设置无意义,因为结尾一定会被加入 ``'\\\\n'`` 。 :param file: 该参数无意义。...
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
lomo/src/arguments.py
arguments.py
.py
4,594
https://github.com/OpenLMLab/LOMO/blob/main/lomo/src/arguments.py
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01e8bf00a791848651d1492bbce865e3cbc05c00
Python
2026-05-04T01:27:15.656506
from dataclasses import dataclass, field from typing import Optional from transformers import Seq2SeqTrainingArguments @dataclass class ModelArguments: model_name_or_path: Optional[str] = field(default="llama-7B") cache_dir: Optional[str] = field(default='../llama/checkpoint') # llama_dir: Optional[str] =...
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
lomo/src/lomo.py
lomo.py
.py
9,461
https://github.com/OpenLMLab/LOMO/blob/main/lomo/src/lomo.py
https://raw.githubusercontent.com/OpenLMLab/LOMO/main/lomo/src/lomo.py
51b4579bc8f097510d34cd708aab532e66936607
Python
2026-05-04T01:27:17.376950
import os import torch from torch.optim import Optimizer import torch.distributed as dist from src.utils import DynamicLossScaler class LOMO(Optimizer): """ 一个自定义的优化器类LOMO,用于在分布式训练中的梯度更新。 该类实现两个梯度更新函数 :meth:`fuse_update` 和 :meth:`fuse_update_zero3`,分别用于非ZeRO和ZeRO模式下的梯度更新。 :param model: 待优化的模型 :...
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
lomo/src/lomo_lora_trainer.py
lomo_lora_trainer.py
.py
27,372
https://github.com/OpenLMLab/LOMO/blob/main/lomo/src/lomo_lora_trainer.py
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c8eff4c976f08114193471080754d3c567c3fffb
Python
2026-05-04T01:27:19.119585
import os import sys import operator from collections import OrderedDict from itertools import chain from pathlib import Path import shutil import tqdm import torch from torch.nn import CrossEntropyLoss from torch.utils.data import DistributedSampler, DataLoader from transformers.trainer_pt_utils import DistributedLen...
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
lomo/src/lomo_trainer.py
lomo_trainer.py
.py
21,258
https://github.com/OpenLMLab/LOMO/blob/main/lomo/src/lomo_trainer.py
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0e66490b9fff5d6d8b85dc428621524b8154342f
Python
2026-05-04T01:27:20.559746
import os import sys import operator from collections import OrderedDict from itertools import chain from pathlib import Path import shutil import tqdm import torch from torch.nn import CrossEntropyLoss from torch.utils.data import DistributedSampler, DataLoader from transformers.trainer_pt_utils import DistributedLen...
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
lomo/src/merge_llama_with_lora.py
merge_llama_with_lora.py
.py
2,298
https://github.com/OpenLMLab/LOMO/blob/main/lomo/src/merge_llama_with_lora.py
https://raw.githubusercontent.com/OpenLMLab/LOMO/main/lomo/src/merge_llama_with_lora.py
dc94caf46b0956007fed7ef591afd52c0d04fa9c
Python
2026-05-04T01:27:21.780018
import argparse import os import torch from peft import PeftModel from transformers import AutoTokenizer, AutoModelForCausalLM, LlamaTokenizer ''' This is the code for merging the LoRA adapter with the base model. [ref] https://github.com/tloen/alpaca-lora/blob/main/export_hf_checkpoint.py To load `lora + lomo` chec...
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
lomo/src/mydatasets.py
mydatasets.py
.py
11,463
https://github.com/OpenLMLab/LOMO/blob/main/lomo/src/mydatasets.py
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7be41acbc0180efc853f50ea4b05d10d2e0e7d63
Python
2026-05-04T01:27:23.069934
import os import copy import random from tqdm import tqdm from typing import Callable, Any from datasets import load_dataset from dataclasses import dataclass import numpy as np import torch from torch.utils.data import Dataset from log import print from prompts import QuestionPart, Exemplar, idx_to_ltr IGNORE_INDEX...
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
lomo/src/prompts.py
prompts.py
.py
2,338
https://github.com/OpenLMLab/LOMO/blob/main/lomo/src/prompts.py
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d6214a9c5dcf94e1c4252f9e2219ccc70828792b
Python
2026-05-04T01:27:24.339692
from dataclasses import dataclass import random def idx_to_ltr(idx): return chr(idx + ord("A")) @dataclass class QuestionPart: text: str tag: str = None def __str__(self): if self.tag is not None: return f"{self.tag}: {self.text}" else: return self.text @d...
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
lomo/src/train_lomo.py
train_lomo.py
.py
5,321
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d42932eaceb08a5cc0ad9b5832a04673fa5d3690
Python
2026-05-04T01:27:25.873657
import copy import os import sys import torch from transformers import HfArgumentParser from transformers import AutoModelForCausalLM, AutoTokenizer, AutoConfig from transformers import set_seed from dataclasses import asdict from transformers.deepspeed import HfDeepSpeedConfig import wandb # os.environ['WANDB_MODE'] ...
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
lomo/src/train_lomo_lora.py
train_lomo_lora.py
.py
7,778
https://github.com/OpenLMLab/LOMO/blob/main/lomo/src/train_lomo_lora.py
https://raw.githubusercontent.com/OpenLMLab/LOMO/main/lomo/src/train_lomo_lora.py
2d2c850b410c722f40f98d7d388456dcf32d126e
Python
2026-05-04T01:27:27.327580
import copy import os import sys import torch from transformers import HfArgumentParser from transformers import AutoModelForCausalLM, AutoTokenizer, AutoConfig from transformers import set_seed from dataclasses import asdict from transformers.deepspeed import HfDeepSpeedConfig from peft import get_peft_model, TaskTyp...
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
lomo/src/utils.py
utils.py
.py
18,316
https://github.com/OpenLMLab/LOMO/blob/main/lomo/src/utils.py
https://raw.githubusercontent.com/OpenLMLab/LOMO/main/lomo/src/utils.py
9220428b1613298bf215516dac0638547dee5257
Python
2026-05-04T01:27:28.770079
import copy from dataclasses import dataclass import numpy as np from torch.nn import CrossEntropyLoss from transformers.utils import PaddingStrategy from transformers.trainer import * import wandb @dataclass class DataCollatorForCauselLM: """ Data collator that will dynamically pad the inputs received, as w...
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
lomo_optim/__init__.py
__init__.py
.py
105
https://github.com/OpenLMLab/LOMO/blob/main/lomo_optim/__init__.py
https://raw.githubusercontent.com/OpenLMLab/LOMO/main/lomo_optim/__init__.py
d814e5a1218cdb9db5742cff6b27c9f7f3e6305b
Python
2026-05-04T01:27:29.969898
from .adalomo import AdaLomo from .lomo import Lomo __version__ = "0.1.1" __all__ = ["Lomo", "AdaLomo"]
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
lomo_optim/adalomo.py
adalomo.py
.py
14,884
https://github.com/OpenLMLab/LOMO/blob/main/lomo_optim/adalomo.py
https://raw.githubusercontent.com/OpenLMLab/LOMO/main/lomo_optim/adalomo.py
3226e5c99256918692df75016854442ad17c2d85
Python
2026-05-04T01:27:31.405158
import math import torch import torch.distributed as dist from torch.optim import Optimizer try: from transformers.integrations.deepspeed import is_deepspeed_zero3_enabled except ImportError: from transformers.deepspeed import is_deepspeed_zero3_enabled from transformers.utils import logging class AdaLomo(...
OpenLMLab/LOMO
https://github.com/OpenLMLab/LOMO
https://api.github.com/repos/OpenLMLab/LOMO
OpenLMLab
LOMO
LOMO: LOw-Memory Optimization
991
68
991
mit
main
2023-06-16T08:17:45
2026-04-16T20:33:03
[]
{ "Python": 173906, "Shell": 301 }
false
29
lomo_optim/lomo.py
lomo.py
.py
16,113
https://github.com/OpenLMLab/LOMO/blob/main/lomo_optim/lomo.py
https://raw.githubusercontent.com/OpenLMLab/LOMO/main/lomo_optim/lomo.py
c2f877ac4f16be12668ad84f4f47118c0e21745c
Python
2026-05-04T01:27:32.862506
import torch import torch.distributed as dist from torch.optim import Optimizer try: from transformers.integrations.deepspeed import is_deepspeed_zero3_enabled except ImportError: from transformers.deepspeed import is_deepspeed_zero3_enabled from transformers.utils import logging logger = logging.get_logger(...
ildoonet/pytorch-gradual-warmup-lr
https://github.com/ildoonet/pytorch-gradual-warmup-lr
https://api.github.com/repos/ildoonet/pytorch-gradual-warmup-lr
ildoonet
pytorch-gradual-warmup-lr
Gradually-Warmup Learning Rate Scheduler for PyTorch
991
126
991
mit
master
2019-01-16T05:46:13
2026-02-23T15:23:15
[ "deep-learning", "large-scale-learning", "learning-rate-decay", "multigpu", "multinode", "pytorch", "pytorch-extension" ]
{ "Python": 4714 }
false
18
setup.py
setup.py
.py
580
https://github.com/ildoonet/pytorch-gradual-warmup-lr/blob/master/setup.py
https://raw.githubusercontent.com/ildoonet/pytorch-gradual-warmup-lr/master/setup.py
4c2238247b5a01470bc97aeb406f9baf1fab0005
Python
2026-05-04T01:27:36.932574
from __future__ import absolute_import from __future__ import division from __future__ import print_function import setuptools _VERSION = '0.3.2' REQUIRED_PACKAGES = [ ] DEPENDENCY_LINKS = [ ] setuptools.setup( name='warmup_scheduler', version=_VERSION, description='Gradually Warm-up LR Scheduler for P...
ildoonet/pytorch-gradual-warmup-lr
https://github.com/ildoonet/pytorch-gradual-warmup-lr
https://api.github.com/repos/ildoonet/pytorch-gradual-warmup-lr
ildoonet
pytorch-gradual-warmup-lr
Gradually-Warmup Learning Rate Scheduler for PyTorch
991
126
991
mit
master
2019-01-16T05:46:13
2026-02-23T15:23:15
[ "deep-learning", "large-scale-learning", "learning-rate-decay", "multigpu", "multinode", "pytorch", "pytorch-extension" ]
{ "Python": 4714 }
false
18
warmup_scheduler/run.py
run.py
.py
817
https://github.com/ildoonet/pytorch-gradual-warmup-lr/blob/master/warmup_scheduler/run.py
https://raw.githubusercontent.com/ildoonet/pytorch-gradual-warmup-lr/master/warmup_scheduler/run.py
a1dbf3d4f2aa78568a323f68f7c1783e1c027291
Python
2026-05-04T01:27:38.264066
import torch from torch.optim.lr_scheduler import StepLR, ExponentialLR from torch.optim.sgd import SGD from warmup_scheduler import GradualWarmupScheduler if __name__ == '__main__': model = [torch.nn.Parameter(torch.randn(2, 2, requires_grad=True))] optim = SGD(model, 0.1) # scheduler_warmup is chained...
ildoonet/pytorch-gradual-warmup-lr
https://github.com/ildoonet/pytorch-gradual-warmup-lr
https://api.github.com/repos/ildoonet/pytorch-gradual-warmup-lr
ildoonet
pytorch-gradual-warmup-lr
Gradually-Warmup Learning Rate Scheduler for PyTorch
991
126
991
mit
master
2019-01-16T05:46:13
2026-02-23T15:23:15
[ "deep-learning", "large-scale-learning", "learning-rate-decay", "multigpu", "multinode", "pytorch", "pytorch-extension" ]
{ "Python": 4714 }
false
18
warmup_scheduler/scheduler.py
scheduler.py
.py
3,230
https://github.com/ildoonet/pytorch-gradual-warmup-lr/blob/master/warmup_scheduler/scheduler.py
https://raw.githubusercontent.com/ildoonet/pytorch-gradual-warmup-lr/master/warmup_scheduler/scheduler.py
f7644e07f3859a8125aa5ec0368f4e8cd1d7b067
Python
2026-05-04T01:27:39.527822
from torch.optim.lr_scheduler import _LRScheduler from torch.optim.lr_scheduler import ReduceLROnPlateau class GradualWarmupScheduler(_LRScheduler): """ Gradually warm-up(increasing) learning rate in optimizer. Proposed in 'Accurate, Large Minibatch SGD: Training ImageNet in 1 Hour'. Args: optimi...
mottosso/Qt.py
https://github.com/mottosso/Qt.py
https://api.github.com/repos/mottosso/Qt.py
mottosso
Qt.py
Minimal Python 2 & 3 shim around all Qt bindings - PySide2, PySide6, PyQt5 and PyQt6.
991
259
991
mit
master
2016-05-27T09:52:11
2026-04-29T22:58:23
[ "pyqt4", "pyqt5", "pyside", "pyside2", "shim" ]
{ "Python": 171181 }
false
44
build_caveats.py
build_caveats.py
.py
200
https://github.com/mottosso/Qt.py/blob/master/build_caveats.py
https://raw.githubusercontent.com/mottosso/Qt.py/master/build_caveats.py
7b78107a713fcfb1cd45060717cf67b68b55cdd1
Python
2026-05-04T01:27:43.712003
#!/usr/bin/env python import caveats blocks = caveats.parse("CAVEATS.md") tests = caveats.format_(blocks) # Write formatted tests with open("test_caveats.py", "w") as f: f.write("".join(tests))
mottosso/Qt.py
https://github.com/mottosso/Qt.py
https://api.github.com/repos/mottosso/Qt.py
mottosso
Qt.py
Minimal Python 2 & 3 shim around all Qt bindings - PySide2, PySide6, PyQt5 and PyQt6.
991
259
991
mit
master
2016-05-27T09:52:11
2026-04-29T22:58:23
[ "pyqt4", "pyqt5", "pyside", "pyside2", "shim" ]
{ "Python": 171181 }
false
44
caveats.py
caveats.py
.py
3,759
https://github.com/mottosso/Qt.py/blob/master/caveats.py
https://raw.githubusercontent.com/mottosso/Qt.py/master/caveats.py
8d40d6b71c1bcebd7ccd8009da0c194ad757123f
Python
2026-05-04T01:27:45.022772
import io import re import sys def parse(fname): """Return blocks of code as list of dicts Arguments: fname (str): Relative name of caveats file """ blocks = [] with io.open(fname, "r", encoding="utf-8") as f: in_block = False current_block = None current_header ...
mottosso/Qt.py
https://github.com/mottosso/Qt.py
https://api.github.com/repos/mottosso/Qt.py
mottosso
Qt.py
Minimal Python 2 & 3 shim around all Qt bindings - PySide2, PySide6, PyQt5 and PyQt6.
991
259
991
mit
master
2016-05-27T09:52:11
2026-04-29T22:58:23
[ "pyqt4", "pyqt5", "pyside", "pyside2", "shim" ]
{ "Python": 171181 }
false
44
examples/QtSiteConfig/QtSiteConfig.py
QtSiteConfig.py
.py
3,533
https://github.com/mottosso/Qt.py/blob/master/examples/QtSiteConfig/QtSiteConfig.py
https://raw.githubusercontent.com/mottosso/Qt.py/master/examples/QtSiteConfig/QtSiteConfig.py
edb48b536a06ceb388b10553bf0b7b11151a84ce
Python
2026-05-04T01:27:46.355056
# Contrived example used for unit testing. For a more realistic example # see the README def update_members(members): """This optional function is called by Qt.py to modify the modules exposed. Arguments: members (dict): The members considered by Qt.py """ # Contrived example used for unit te...
mottosso/Qt.py
https://github.com/mottosso/Qt.py
https://api.github.com/repos/mottosso/Qt.py
mottosso
Qt.py
Minimal Python 2 & 3 shim around all Qt bindings - PySide2, PySide6, PyQt5 and PyQt6.
991
259
991
mit
master
2016-05-27T09:52:11
2026-04-29T22:58:23
[ "pyqt4", "pyqt5", "pyside", "pyside2", "shim" ]
{ "Python": 171181 }
false
44
examples/QtSiteConfig/main.py
main.py
.py
1,843
https://github.com/mottosso/Qt.py/blob/master/examples/QtSiteConfig/main.py
https://raw.githubusercontent.com/mottosso/Qt.py/master/examples/QtSiteConfig/main.py
02124ae045d9c973d7bf2ebd7538ebe474e8a196
Python
2026-05-04T01:27:47.684444
"""Example of QtSiteConfig module used to modify exposed members of Qt.py""" import os import sys def test(): """QtCore is taken out of Qt.py via QtSiteConfig.py""" # Expose this directory, and therefore QtSiteConfig, to Python sys.path.insert(0, os.path.dirname(__file__)) try: from Qt impo...
mottosso/Qt.py
https://github.com/mottosso/Qt.py
https://api.github.com/repos/mottosso/Qt.py
mottosso
Qt.py
Minimal Python 2 & 3 shim around all Qt bindings - PySide2, PySide6, PyQt5 and PyQt6.
991
259
991
mit
master
2016-05-27T09:52:11
2026-04-29T22:58:23
[ "pyqt4", "pyqt5", "pyside", "pyside2", "shim" ]
{ "Python": 171181 }
false
44
examples/QtSiteConfig_platforms/QtSiteConfig.py
QtSiteConfig.py
.py
1,193
https://github.com/mottosso/Qt.py/blob/master/examples/QtSiteConfig_platforms/QtSiteConfig.py
https://raw.githubusercontent.com/mottosso/Qt.py/master/examples/QtSiteConfig_platforms/QtSiteConfig.py
3faa05c42941abdd807d7ab17226b6bce5d84e7d
Python
2026-05-04T01:27:48.923135
import sys IS_WIN = sys.platform == "win32" def update_members(members): # Add windows only `QWinEventNotifier` class if IS_WIN: members["QtCore"].append("QWinEventNotifier") # Add the windows only QtAxContainer class. The PySideX bindings use # the QtAxContainer module name, so we ...
mottosso/Qt.py
https://github.com/mottosso/Qt.py
https://api.github.com/repos/mottosso/Qt.py
mottosso
Qt.py
Minimal Python 2 & 3 shim around all Qt bindings - PySide2, PySide6, PyQt5 and PyQt6.
991
259
991
mit
master
2016-05-27T09:52:11
2026-04-29T22:58:23
[ "pyqt4", "pyqt5", "pyside", "pyside2", "shim" ]
{ "Python": 171181 }
false
44
examples/QtSiteConfig_platforms/main.py
main.py
.py
1,679
https://github.com/mottosso/Qt.py/blob/master/examples/QtSiteConfig_platforms/main.py
https://raw.githubusercontent.com/mottosso/Qt.py/master/examples/QtSiteConfig_platforms/main.py
040e3fab480106ddb6918704690b36364152d5c8
Python
2026-05-04T01:27:50.039562
"""Example of QtSiteConfig module used to modify exposed members of Qt.py""" import os import sys IS_WIN = sys.platform == "win32" print(f'Platform {"is" if IS_WIN else "is not"} windows: "{sys.platform}"') def test(): """QtCore is taken out of Qt.py via QtSiteConfig.py""" # Expose this directory, and ther...
mottosso/Qt.py
https://github.com/mottosso/Qt.py
https://api.github.com/repos/mottosso/Qt.py
mottosso
Qt.py
Minimal Python 2 & 3 shim around all Qt bindings - PySide2, PySide6, PyQt5 and PyQt6.
991
259
991
mit
master
2016-05-27T09:52:11
2026-04-29T22:58:23
[ "pyqt4", "pyqt5", "pyside", "pyside2", "shim" ]
{ "Python": 171181 }
false
44
examples/loadUi/baseinstance1.py
baseinstance1.py
.py
1,652
https://github.com/mottosso/Qt.py/blob/master/examples/loadUi/baseinstance1.py
https://raw.githubusercontent.com/mottosso/Qt.py/master/examples/loadUi/baseinstance1.py
cc8fb19a77e790fda1ddbc505e495aa8e9f2fcb5
Python
2026-05-04T01:27:51.370605
import sys import os # Set preferred binding os.environ["QT_PREFERRED_BINDING"] = os.pathsep.join( ["PySide", "PyQt4", "PySide2", "PySide6"] ) from Qt import QtWidgets, QtCompat def setup_ui(uifile, base_instance=None): """Load a Qt Designer .ui file and returns an instance of the user interface Args: ...
mottosso/Qt.py
https://github.com/mottosso/Qt.py
https://api.github.com/repos/mottosso/Qt.py
mottosso
Qt.py
Minimal Python 2 & 3 shim around all Qt bindings - PySide2, PySide6, PyQt5 and PyQt6.
991
259
991
mit
master
2016-05-27T09:52:11
2026-04-29T22:58:23
[ "pyqt4", "pyqt5", "pyside", "pyside2", "shim" ]
{ "Python": 171181 }
false
44
examples/loadUi/baseinstance2.py
baseinstance2.py
.py
4,210
https://github.com/mottosso/Qt.py/blob/master/examples/loadUi/baseinstance2.py
https://raw.githubusercontent.com/mottosso/Qt.py/master/examples/loadUi/baseinstance2.py
1f570327335ebf7b5eece46078328e8d50980d5d
Python
2026-05-04T01:27:52.715922
import sys import os # Set preferred binding, or Qt.py tests will fail which doesn't have pysideuic os.environ["QT_PREFERRED_BINDING"] = "PyQt4" from Qt import QtWidgets, __binding__ def load_ui_type(uifile): """Pyside equivalent for the loadUiType function in PyQt. From the PyQt4 documentation: Lo...
mottosso/Qt.py
https://github.com/mottosso/Qt.py
https://api.github.com/repos/mottosso/Qt.py
mottosso
Qt.py
Minimal Python 2 & 3 shim around all Qt bindings - PySide2, PySide6, PyQt5 and PyQt6.
991
259
991
mit
master
2016-05-27T09:52:11
2026-04-29T22:58:23
[ "pyqt4", "pyqt5", "pyside", "pyside2", "shim" ]
{ "Python": 171181 }
false
44
membership.py
membership.py
.py
14,113
https://github.com/mottosso/Qt.py/blob/master/membership.py
https://raw.githubusercontent.com/mottosso/Qt.py/master/membership.py
3768b62836f03d6cb2544615713668ce653b5b0e
Python
2026-05-04T01:27:54.160705
import os import re import pkgutil import json import platform from argparse import ArgumentParser from functools import reduce from pprint import pprint from pathlib import Path MEMBERSHIP_PATH = Path("./.members") SKIP_MODULES = [ "PyQt5.Qt", # This module only exists in PyQt5 and is not exposed by Qt.py ...
mottosso/Qt.py
https://github.com/mottosso/Qt.py
https://api.github.com/repos/mottosso/Qt.py
mottosso
Qt.py
Minimal Python 2 & 3 shim around all Qt bindings - PySide2, PySide6, PyQt5 and PyQt6.
991
259
991
mit
master
2016-05-27T09:52:11
2026-04-29T22:58:23
[ "pyqt4", "pyqt5", "pyside", "pyside2", "shim" ]
{ "Python": 171181 }
false
44
src/Qt.py
Qt.py
.py
84,034
https://github.com/mottosso/Qt.py/blob/master/src/Qt.py
https://raw.githubusercontent.com/mottosso/Qt.py/master/src/Qt.py
174d3f02fc8f5c80bd7e2197c554af34a3a87ea5
Python
2026-05-04T01:27:56.695156
"""Minimal Python 2 & 3 shim around all Qt bindings DOCUMENTATION Qt.py was born in the film and visual effects industry to address the growing need for the development of software capable of running with more than one flavour of the Qt bindings for Python. Supported Binding: PySide6, PySide2, PyQt6, ...
mottosso/Qt.py
https://github.com/mottosso/Qt.py
https://api.github.com/repos/mottosso/Qt.py
mottosso
Qt.py
Minimal Python 2 & 3 shim around all Qt bindings - PySide2, PySide6, PyQt5 and PyQt6.
991
259
991
mit
master
2016-05-27T09:52:11
2026-04-29T22:58:23
[ "pyqt4", "pyqt5", "pyside", "pyside2", "shim" ]
{ "Python": 171181 }
false
44
src/Qt_convert_enum.py
Qt_convert_enum.py
.py
14,357
https://github.com/mottosso/Qt.py/blob/master/src/Qt_convert_enum.py
https://raw.githubusercontent.com/mottosso/Qt.py/master/src/Qt_convert_enum.py
20726ca0ccf0c6066634113760ac2df8a17154fc
Python
2026-05-04T01:27:58.192160
"""Tool to convert short form Qt enums to fully qualified enums in python code. This script uses PySide2 to build a mapping between short enums and their fully qualified enums. It scans a directory of .py files and converts any uses of the short form into the fully qualified enum. PySide2 must be importable. Show how...
mottosso/Qt.py
https://github.com/mottosso/Qt.py
https://api.github.com/repos/mottosso/Qt.py
mottosso
Qt.py
Minimal Python 2 & 3 shim around all Qt bindings - PySide2, PySide6, PyQt5 and PyQt6.
991
259
991
mit
master
2016-05-27T09:52:11
2026-04-29T22:58:23
[ "pyqt4", "pyqt5", "pyside", "pyside2", "shim" ]
{ "Python": 171181 }
false
44
tests.py
tests.py
.py
50,794
https://github.com/mottosso/Qt.py/blob/master/tests.py
https://raw.githubusercontent.com/mottosso/Qt.py/master/tests.py
c8f3c1d63816da735db5473486e604d74644f195
Python
2026-05-04T01:27:59.616436
# coding=utf-8 """Tests that run once""" import io import os import re import sys import importlib.util import shutil import tempfile import textwrap import typing import subprocess import contextlib import json from pathlib import Path # Third-party dependency import six # type: ignore try: # Try importing as...
noob-hackers/lazybee
https://github.com/noob-hackers/lazybee
https://api.github.com/repos/noob-hackers/lazybee
noob-hackers
lazybee
Create Best Wordlist From Python Tool In Termux
990
74
990
mit
master
2019-04-15T10:39:03
2026-05-03T02:23:34
[ "hacking", "hacking-tools", "noobhacking", "terminal-app", "termux", "termux-hacking", "termux-tool", "termux-tools", "wordlists" ]
{ "Python": 2007 }
false
3
lazybee.py
lazybee.py
.py
2,007
https://github.com/noob-hackers/lazybee/blob/master/lazybee.py
https://raw.githubusercontent.com/noob-hackers/lazybee/master/lazybee.py
764a5fc3ce2ee8a2aece63fea85d447be524799e
Python
2026-05-04T01:28:03.879682
import time #colors red='\033[91m' b='\033[21m' gren='\033[92m' yellow='\033[93m' cyan='\033[96m' blue='\033[94m' print (red+b+""" _ /_/- .'''. =O(_))))...' `. \_\- __, ____,___,_ _, ____ ____,____, (-| (-/_|(- /...
simpleai-team/simpleai
https://github.com/simpleai-team/simpleai
https://api.github.com/repos/simpleai-team/simpleai
simpleai-team
simpleai
simple artificial intelligence utilities
990
247
990
mit
master
2012-07-24T23:12:50
2026-04-29T02:02:08
[]
{ "Python": 125959, "JavaScript": 7241, "HTML": 3449, "CSS": 1724 }
false
13
samples/machine_learning/iris.py
iris.py
.py
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#!/usr/bin/env python # coding: utf-8 """ Iris dataset classification example. The iris dataset can be downloaded from here: http://archive.ics.uci.edu/ml/datasets/Iris It has to be placed in the corpus folder. """ from __future__ import print_function import os import math import random from simpleai.machine_learn...
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samples/machine_learning/language_classification.py
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# -*- coding: utf-8 -*- """ Example for language classification from text using the es-en europarl corpus[0]. This script should be able to tell if some text is english or spanish based solely in counting the letters that appear. It's *highly* recomended to make shorter versions of the corpus to experiment, like this...
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samples/machine_learning/opinion.py
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Python
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#!/usr/bin/env python # coding: utf-8 """ Opinion Mining example. More about opinion mining here: http://en.wikipedia.org/wiki/Sentiment_analysis Dataset extracted from: http://www.cs.uic.edu/~liub/FBS/sentiment-analysis.html precisely http://www.cs.uic.edu/~liub/FBS/pros-cons.rar It should be placed in a folder call...
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samples/machine_learning/tic_tac_toe.py
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# -*- coding: utf-8 -*- from __future__ import print_function from simpleai.machine_learning.reinforcement_learning import TDQLearner, RLProblem, \ make_exponential_temperature, \ PerformanceCount...
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samples/machine_learning/wumpus.py
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# -*- coding: utf-8 -*- from __future__ import print_function from simpleai.machine_learning.reinforcement_learning import TDQLearner, \ make_exponential_temperature, \ PerformanceCounter, \ ...
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samples/search/australia.py
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from __future__ import print_function from simpleai.search import CspProblem, backtrack, min_conflicts, MOST_CONSTRAINED_VARIABLE, HIGHEST_DEGREE_VARIABLE, LEAST_CONSTRAINING_VALUE variables = ('WA', 'NT', 'SA', 'Q', 'NSW', 'V', 'T') domains = dict((v, ['red', 'green', 'blue']) for v in variables) def const_differe...
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samples/search/cryptarithmetic.py
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from __future__ import print_function from time import time from copy import deepcopy from simpleai.search import ( backtrack, MOST_CONSTRAINED_VARIABLE, LEAST_CONSTRAINING_VALUE, convert_to_binary, CspProblem) variables = ('F', 'T', 'U', 'W', 'R', 'O', 'C_10', 'C_100', 'C_1000') domains = dict((v, list(ra...
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samples/search/dotsearch.py
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Python
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from pygraphviz import AGraph import base64 import tempfile from simpleai.search import SearchProblem class BadInputGraph(Exception): pass class DotGraphSearchProblem(SearchProblem): """ Playground for stuff in the library... eats a .dot graph and allows you to try it with the search methods. ""...
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samples/search/eight_puzzle.py
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Python
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''' 8 puzzle problem, a smaller version of the fifteen puzzle: http://en.wikipedia.org/wiki/Fifteen_puzzle States are defined as string representations of the pieces on the puzzle. Actions denote what piece will be moved to the empty space. States must allways be inmutable. We will use strings, but internally most of ...
simpleai-team/simpleai
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samples/search/game_walk.py
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#!/usr/bin/env python # coding: utf-8 from __future__ import print_function import math from simpleai.search import SearchProblem, astar MAP = """ ############################## # # # # # #### ######## # # # o # # # # # ### #### ###### # # #### ...
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samples/search/hello_world.py
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Python
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# coding=utf-8 from __future__ import print_function from simpleai.search import SearchProblem, astar GOAL = 'HELLO WORLD' class HelloProblem(SearchProblem): def actions(self, state): if len(state) < len(GOAL): return list(' ABCDEFGHIJKLMNOPQRSTUVWXYZ') else: return [] ...
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samples/search/make_report.py
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from __future__ import print_function assert __name__ == "__main__" from dotsearch import report import argparse parser = argparse.ArgumentParser(description="Runs graph search " "algorithms over a .dot graph file.") parser.add_argument("dotfile", action="store") cfg = parser.parse_args() from simpleai.search import...
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samples/search/missioners.py
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# coding=utf-8 from __future__ import print_function from simpleai.search import SearchProblem, astar class MissionersProblem(SearchProblem): '''Missioners and cannibals problem.''' def __init__(self): super(MissionersProblem, self).__init__(initial_state=(3, 3, 0)) # each action has a prin...
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samples/search/simple_nary_to_binary.py
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from __future__ import print_function from simpleai.search import backtrack, CspProblem, convert_to_binary variables = ('A', 'B', 'C') domains = { 'A': [1, 2, 3], 'B': [1, 3, 4], 'C': [1, 2], } def const_different(variables, values): return len(values) == len(set(values)) # remove repeated values ...
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samples/search/sudoku.py
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from __future__ import print_function from time import time from itertools import combinations from collections import OrderedDict from copy import deepcopy try: from StringIO import StringIO except ImportError: from io import StringIO try: from string import uppercase except ImportError: from string i...
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samples/search/threesat.py
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from __future__ import print_function from time import time from copy import deepcopy from simpleai.search import backtrack, CspProblem, convert_to_binary variables = ('X1', 'X2', 'X3', 'X4', 'X5', 'X6') domains = dict((v, [False, True]) for v in variables) constraints = [ (('X1', 'X2', 'X6'), lambda v, value...
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setup.py
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#!/usr/bin/env python # -*- coding: utf-8 -*- from distutils.core import setup setup( name='simpleai', version='0.8.3', description=u'An implementation of AI algorithms based on aima-python', long_description=open('README.rst').read(), author=u'Juan Pedro Fisanotti', author_email='fisadev@gmai...
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simpleai/environments.py
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# -*- coding: utf-8 -*- class Environment(object): def __init__(self, agents, initial_state): self.agents = agents self.initial_state = initial_state self.state = initial_state def run(self, steps=10000, viewer=None): self.state = self.initial_state for step in range(...