text string |
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#!/usr/bin/env python
# -*- coding: utf-8 -*-
#
# Copyright (C) 2012 <NAME> <<EMAIL>>
# Licensed under the GNU LGPL v2.1 - http://www.gnu.org/licenses/lgpl.html
#
# HDP inference code is adapted from the onlinehdp.py script by
# <NAME> (chongw at cs.princeton.edu).
# http://www.cs.princeton.edu/~chongw/software/onlineh... |
"""
# =============================================================================
# Creates the stiffness matrix as requested, using the material properties
# provided in the TPD file (for v2020 files).
#
# Author: <NAME>, <NAME>
# Copyright (C) 2008, 2015, <NAME>.
# Copyright (C) 2020, 2021, <NAME>
# =============... |
# Copyright (c) Meta Platforms, Inc. and affiliates.
#
# This source code is licensed under the MIT license found in the
# LICENSE file in the root directory of this source tree.
import torch
import theseus as th
import theseus.utils.examples as theg
import logging
import hydra
from scipy.io import savemat
# Logger
l... |
import statistics
import VegetationModel
import math
import numpy as np
import json
from ECAgent.Core import *
from ECAgent.Decode import IDecodable
from ECAgent.Environments import PositionComponent, discreteGridPosToID
from ECAgent.Collectors import Collector, FileCollector
from VegetationModel import SoilMoistureC... |
import math
import random
import numpy as np
import linecache
from scipy import sparse
def queryMechanism(S,delta,Ycardinality,dict,dimension):
n=len(S)
# print(Ycardinality)
# print(dimension)
tau=Ycardinality
gamma=math.sqrt(math.log(2*tau/float(delta))/float(n))
sigma=math.ceil... |
'''
.. currentmodule:: skrf.constants
========================================
constants (:mod:`skrf.constants`)
========================================
This module contains constants, numerical approximations, and unit conversions
.. data:: INF
A very very large value (1e99)
.. data:: ONE
1 + epsilon... |
<reponame>sernamar/python3-oop-book
from grader import Assignment
class IntroToPython:
def lesson(self):
return f"""Hello, {self.student}. Define two variables: an integer
named a with value 1 and a string named b with value 'hello'."""
def check(self, code):
return code == "a = 1\nb ... |
"""Construction of nodes and weights for integration."""
import functools
import itertools
from typing import Iterable, List, Optional, Tuple
import numpy as np
import scipy.special
import scipy.stats
from ..utilities.basics import Array, Options, StringRepresentation, format_options
class Integration(StringRepres... |
<filename>graphgallery/functional/tensor/tensorflow/tensor.py
import tensorflow as tf
import numpy as np
import scipy.sparse as sp
import graphgallery as gg
from typing import Any
from graphgallery import functional as gf
from .ops import sparse_adj_to_sparse_tensor
_TYPE = {
'float16': tf.float16,
... |
<gh_stars>10-100
# From Python
# It requires OpenCV installed for Python and OpenPose built with Python API support.
# Tested for OpenPose ~1.4.0
import argparse
import glob
import json
import os
import sys
import time
from sys import platform
import cv2
import matplotlib.pyplot as plt
from scipy.io import savemat
fr... |
<reponame>dburkhardt/neurips2021_multimodal_viash
# Dependencies:
# pip: scikit-learn, anndata, scanpy
#
# Python starter kit for the NeurIPS 2021 Single-Cell Competition.
# Parts with `TODO` are supposed to be changed by you.
#
# More documentation:
#
# https://viash.io/docs/creating_components/python/
import logging... |
<gh_stars>1-10
"""Helper functions for TIE.
An assortment of helper functions that load images, pass data, and generally
are used in the reconstruction. Additionally, a couple of functions used for
displaying images and stacks.
Author: <NAME>, ANL, Summer 2019.
"""
import matplotlib.pyplot as plt
import matplot... |
import numpy as np
import matplotlib.pyplot as plt
from scipy.stats import chi2
from matplotlib.patches import Ellipse
from scipy.special import erf
from astroML.plotting.mcmc import convert_to_stdev as cts
from scipy.optimize import curve_fit
def draw_ellipse(pos, cov, nsig=None, ax=None, label="temp",
... |
import os
import numpy as np
import jax.numpy as jnp
import jax
from jax import random
from flax import linen as nn
from flax.training import train_state
import optax
import tensorflow as tf
import tensorflow_datasets as tfds
from scipy.stats import truncnorm
from flax.training import checkpoints
from utils import sav... |
<reponame>uoguelph-mlrg/cnn-moth-detection
from pipeline import proc_config, load_initial_data_wrap, load_misclf_data_wrap
from fileop import loadfile
import matplotlib.pylab as plt
import numpy as np
import random
from scipy.misc import imsave
import os
from config import FigExt
def concatenate_images(x_in, pad_size... |
<filename>splat/euclid.py<gh_stars>0
from __future__ import print_function, division
"""
.. note::
These are functions related to the EUCLID analysis based on SPLAT tools
"""
#import astropy
#import copy
#from datetime import datetime
#import os
#import re
#import requests
#from splat import SPLAT_PATH, SPL... |
<gh_stars>0
from statistics import mean
import numpy as np
import matplotlib.pyplot as plt
from matplotlib import style
style.use('fivethirtyeight')
xs = np.array([1, 2, 3, 4, 5, 6], dtype=np.float64)
ys = np.array([5, 4, 6, 5, 6, 7], dtype=np.float64)
def best_fit_slope_and_intercept(xs, ys):
m = (((mean(xs) * me... |
import random
import scipy
from sklearn import svm
from sklearn.base import BaseEstimator
from sklearn.ensemble import RandomForestRegressor
from sklearn.metrics import make_scorer
from sklearn.model_selection import GridSearchCV
from utils.dataset import *
from utils.stratification import *
def set_seed(seed: int ... |
<reponame>nd7141/deepr
"""Build MovieLens dataset as TFRecords."""
import logging
from dataclasses import dataclass
import numpy as np
import deepr as dpr
try:
import pandas as pd
except ImportError as e:
print(f"Pandas needs to be installed for MovieLens {e}")
try:
from scipy import sparse
except Impo... |
<filename>q2_diversity_lib/beta.py
# ----------------------------------------------------------------------------
# Copyright (c) 2018-2020, QIIME 2 development team.
#
# Distributed under the terms of the Modified BSD License.
#
# The full license is in the file LICENSE, distributed with this software.
# -------------... |
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import curve_fit
import uncertainties as unc
from uncertainties import ufloat
nSS,startPosSS,endPosSS,medPosSS,nSS,xSS,low_xSS,high_xSS = np.loadtxt(r"2021.11.18 Diffraction - Computing/a-single-slit.csv",delimiter=",",skiprows=1,unpack=True)
nDS,s... |
<gh_stars>10-100
from __future__ import absolute_import
from __future__ import unicode_literals
from __future__ import division
from __future__ import print_function
import numpy as np
import os
from os.path import join
import torch
import pandas as pd
import scipy.sparse as sp
from scipy.sparse import coo_matrix
from... |
import copy
import argparse
import time
import numpy as np
from io import StringIO
import itertools
import os
import sys
from timemachine.integrator import langevin_coefficients
from jax.config import config as jax_config
# this always needs to be set
jax_config.update("jax_enable_x64", True)
from scipy.stats import... |
<reponame>renatkh/cytokinesis<filename>fitEllipse.py
""" 2D Ellipse fitting
Fits an ellipse to a set of points (x_i, y_i) using the canonical
representation:
a * x^2 + b * x * y + c * y^2 + d * x + e * y + f = 0 (1)
Provided features
-----------------
The module provides sev... |
# -*- coding: utf-8 -*-
"""NewsSentiment.ipynb
Automatically generated by Colaboratory.
Original file is located at
https://colab.research.google.com/drive/1abfT7VJ4iSrQ38urJdgawlHz79Y4wi4N
"""
# Commented out IPython magic to ensure Python compatibility.
import pandas as pd
import numpy as np
from scipy.sparse ... |
<gh_stars>0
# coding: utf-8
from __future__ import division
import cv2
import numpy as np
from scipy.spatial import Delaunay
def get_aabb(pts):
"""axis-aligned minimum bounding box"""
x, y = np.floor(pts.min(axis=0)).astype(int)
w, h = np.ceil(pts.ptp(axis=0)).astype(int)
return x, y, w, h
def get... |
<gh_stars>1-10
# emacs: -*- mode: python-mode; py-indent-offset: 4; indent-tabs-mode: nil -*-
# vi: set ft=python sts=4 ts=4 sw=4 et:
### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ### ##
#
# See COPYING file distributed along with the NiBabel package for the
# copyright and license terms.
... |
from math import *
import numpy as np
import random
from scipy.integrate import odeint
from models.agent import *
from math import *
import numpy as np
from numpy.linalg import inv, norm
class AUV(Agent):
def __init__(self, size, velocity, k):
self.size = size
self.velocity = velocity
self... |
<reponame>swami1995/SimuRLacra
# Copyright (c) 2020, <NAME>, Honda Research Institute Europe GmbH, and
# Technical University of Darmstadt.
# All rights reserved.
#
# Redistribution and use in source and binary forms, with or without
# modification, are permitted provided that the following conditions are met:
# 1. Red... |
<reponame>alorenzo175/pandas
# coding=utf-8
# pylint: disable-msg=E1101,W0612
from inspect import getargspec
from itertools import product
from distutils.version import LooseVersion
import nose
import random
from numpy import nan
import numpy as np
import pandas as pd
from pandas import (Index, Series, DataFrame, i... |
import cv2
import numpy as np
import os
import pickle
import sys
import argparse
from math import floor, pi
from matplotlib import pyplot as plt
from scipy import interpolate
from skimage import transform
from hpf import hpf
gt="SR_testing_datasets\\Set14_SR\\Set14\\image_SRF_2\\img_014_SRF_2_HR.png"
gt=cv2.cvtColor(c... |
<gh_stars>1-10
from fractions import Fraction
import math
from typing import List, Tuple, Union
# Last modified by <NAME>. 8/4/2021. Removed RationalBernolli and RationalDiscreteUniform, inlining appropriate rng.integer calls. Removed application of limit_denominator to sigma_sq
# Last modified by <NAME>. 29/3/2021. R... |
<filename>hmc/applications/fitzhugh_nagumo/fitzhugh_nagumo.py<gh_stars>0
from typing import Callable, Tuple
import numpy as np
import scipy.linalg as spla
import scipy.stats as spst
from scipy.integrate import odeint
def generate_data(
state: np.ndarray,
t: np.ndarray,
sigma: float,
a... |
'''
pip install python_speech_features
'''
from python_speech_features import mfcc
from python_speech_features import delta
from python_speech_features import logfbank
import scipy.io.wavfile as wav
(samplerates, signal) = wav.read('mask-100-550.wav')
mfccfeatures = mfcc(signal, samplerates)
dmfccfeature = delta(mfcc... |
<reponame>oskarikerppo/simulated-tomography
import matplotlib.pyplot as plt
import numpy as np
from pathlib import Path
import pickle
import os
from scipy import stats
import plot_settings
#Initialize plot settings
PlotSettings = plot_settings.PlotSettings()
plt.rcParams.update(PlotSettings.tex_fonts)
fig_size = Pl... |
'''This example uses a convolutional stack followed by a recurrent stack
and a CTC logloss function to perform optical character recognition
of generated text images. I have no evidence of whether it actually
learns general shapes of text, or just is able to recognize all
the different fonts thrown at it...the purpose ... |
import timeit
import numpy as np
import numpy.linalg
from scipy.linalg import cho_factor, cho_solve
# We are trying to solve the following system
# (A.T * A) * x = A.T * b
# Where x are the polynomial coefficients and b is are the input points
# First we build A
deg = 3
x = np.arange(50 * 1.0)
A = np.vstack(tuple(x*... |
""" Main implementation of parcel model.
"""
from __future__ import print_function
from __future__ import absolute_import
from builtins import zip
from builtins import range
from builtins import object
import os
from scipy.optimize import bisect
# Parcel model imports
from . import constants as c
from . import outpu... |
<reponame>terrencetec/kontrol
"""Tests for kontrol.sensact.calibration submodule"""
import numpy as np
import scipy.special
import kontrol.sensact
def test_calibrate():
"""Tests for kontrol.sensact.calibration.calibrate"""
# Test method="linear"
xdata = np.linspace(-1, 1, 1000)
m = np.random.random()... |
<reponame>xieshentoken/Capacitance-contribution-fit
import re
import sys
from collections import OrderedDict
from tkinter import *
from tkinter import colorchooser, filedialog, messagebox, simpledialog, ttk
# MacOS下使用这两行，Win下可以注释掉————————————————————
import matplotlib
matplotlib.use("TkAgg")
#————————————————... |
<reponame>CuriBio/mantarray-waveform-analysis<gh_stars>0
# -*- coding: utf-8 -*-
"""Detecting peak and valleys of incoming Mantarray data."""
from functools import partial
from typing import Any
from typing import Dict
from typing import Iterable
from typing import List
from typing import Optional
from typing import T... |
'''
GSAlg.py
Implementation of Gibbs Sampling for bnpy models
For more info, see the documentation [TODO]
'''
import numpy as np
import scipy.sparse as sp
from collections import defaultdict
from LearnAlg import LearnAlg
class GSAlg(LearnAlg):
def __init__(self, **kwargs):
''' Create GSAlg, subtype of ... |
<reponame>ZedThree/tokamesh
from numpy import linspace, array, zeros, sqrt, sinc
from scipy.sparse import csc_matrix
from numpy.random import multivariate_normal
from scipy.integrate import quad, simps
from tokamesh.construction import equilateral_mesh
from tokamesh import TriangularMesh
from tokamesh.geometry import... |
#! /usr/bin/env python
# -*- coding: utf-8 -*-
# vim:fenc=utf-8
#
# Copyright (c) 2020 <NAME> <<EMAIL>>
#
# Distributed under terms of the MIT license.
"""
Utilities
"""
import torch
import yaml
import numpy as np
from pathlib import Path
import soundfile as sf
import librosa
import logging
import matplotlib as mpl
... |
'''
<NAME>
Assignment: Fantastic Landscape
'''
from cmath import log
import random
#Commands of Program
Commands = ("walk",
"end",
"log")
#First Halves of Location Names
Locations_Partone = ("Xialtha",
"Saintsteel",
"Ecclesia",
... |
<gh_stars>1-10
import warnings
warnings.filterwarnings('ignore')
import matplotlib
matplotlib.use("Agg")
import matplotlib.pylab as plt
import os
import sys
import time
import numpy as np
from scipy.io.wavfile import write
sys.path.insert(0, 'tacotron2')
import numpy as np
import torch
from hparams import create_hp... |
#!/bin/env python3
"""Main executable for running puppetmaster."""
import bisect
import json
import os
import random
import statistics
from argparse import ArgumentParser, Namespace
from multiprocessing import Pool
from pathlib import PurePath
from typing import Dict, List, Sequence, Set
try:
import matplotlib.pyp... |
<gh_stars>0
from path import Path
import numpy as np
import sys
import matplotlib.pyplot as plt
from scipy.signal import savgol_filter
skeleton_name = ["Bip001", 'Bip001 Pelvis', 'Bip001 Spine', 'Bip001 Spine1', 'Bip001 Spine2', 'Bip001 Neck',
'Bip001 Head', 'Bip001 HeadNub', 'Bip001 L Clavicle', 'Bip... |
<reponame>caos21/ndust<gh_stars>1-10
# -*- coding: utf-8 -*-
"""
Created on Tue Nov 22 21:10:56 EST 2016
@author: ben
"""
# Using encoding
# -*- coding: utf-8 -*-
__author__ = "<NAME>"
__copyright__ = "Copyright 2017, <NAME>"
__license__ = "Apache v2.0"
__version__ = "0.1.0"
__email__ = "<EMAIL>"
__status__ = "Develop... |
# Copyright 2020 The PGDL Competition organizers.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or a... |
#!/usr/bin/env python
# coding: utf-8
# # Lotka-Volterra in Drug Discovery
# The Lotka-Volterra Model is not limited to predator-prey models. It has been applied over the past few decades to
# the study of evolutionary biology. When treating humans or animals with drugs that aim to rid the body
# of pathogens ... |
<filename>Naive Bayes Classifier - Vocabulary data/src/subset_selector.py<gh_stars>0
#!/usr/bin/env python
from sklearn.datasets import fetch_20newsgroups
from sklearn.feature_extraction.text import CountVectorizer
from scipy.stats import entropy
import vocabulary_io
DATA_HOME = "../data/";
def calculateWordInforma... |
<reponame>raamana/hiwenet<filename>hiwenet/more_metrics.py
"""
Module implementing additional metrics for edge weights.
"""
from sys import version_info
if version_info.major > 2:
from hiwenet.utils import check_array
else:
raise NotImplementedError('hiwenet supports only Python 3 or higher!')
__all__ = ['d... |
<filename>qiskit/opflow/gradients/derivative_base.py
# This code is part of Qiskit.
#
# (C) Copyright IBM 2020.
#
# This code is licensed under the Apache License, Version 2.0. You may
# obtain a copy of this license in the LICENSE.txt file in the root directory
# of this source tree or at http://www.apache.org/license... |
from abc import ABC, abstractmethod
import numpy as np
import scipy.stats
class normaliser(ABC):
@abstractmethod
def normalise(self, y_true, y_pred, *args, **kwargs):
"""
Normalises predicted values, e.g. to account for things like:
"Had I known at day x that so many people had died alr... |
<gh_stars>0
import allel, scipy, keras, pickle
from keras import backend as K
import numpy as np
from siamese_nucvar import SiameseNetwork
from sklearn import manifold
import pandas as pd
#from matplotlib import pyplot as plt
cor = lambda a,b: np.corrcoef(a,b)[1][0]
spearman = lambda a,b: scipy.stats.spearmanr(a,b)[0]... |
<reponame>weijiawu/Unconstrained-Text-Detection-with-Box-Supervisionand-Dynamic-Self-Training
import os
import sys
import torch
cur_path = os.path.abspath(os.path.dirname(__file__))
root_path = os.path.split(cur_path)[0]
sys.path.append(root_path)
from torchvision import transforms
from PIL import Image
from segmentr... |
<reponame>griffin-h/floyds_pipeline
#!/usr/bin/env python
import os
import matplotlib
matplotlib.use('Agg')
import pyfits
import numpy
import scipy
import pylab
import sys
import math
import logging
import glob
import string
# New style plotting
import plot_xmlguideinfo as plot_guideinfo
from pyfits import open as po... |
# -*- coding: utf-8 -*-
"""
File Name： dicom_utils
Description : dicom处理工具类
Author : mick.yi
date： 2019/4/4
"""
import os
import numpy as np
import pydicom as dicom
from matplotlib import pyplot as plt
from scipy import ndimage as ndi
from skimage.segmentation import clear_border
from s... |
<gh_stars>1-10
# -*- coding: utf-8 -*-
"""
Created on Thu Mar 29 11:39:05 2018
@author: garvit
"""
import scipy.stats as ss
from decimal import Decimal
import math as m
import numpy as np
from datetime import date,timedelta
from mibian import BS
def call_bsm (S0,K,r,T,Otype,sig):
d1 = Decimal(m.lo... |
import json
import os
import warnings
import cv2
import numpy as np
import scipy
from common import utils
from tensorflow import cast
from tensorflow.keras.utils import Sequence
class SegmentationDataset:
def __init__(self, images_dir=None, class_key='object', augmentation=None,
preprocess_tran... |
<gh_stars>0
#!/usr/bin/env python3
# -*- coding: utf-8 -*-
"""
Created on Tue Jan 17 12:37:58 2017
@author: weir
"""
import numpy as _np
import os as _os
import matplotlib.pyplot as _plt
from scipy import signal as _sig
#import scipy.signal.correlate as xcorr
from FFT.fft_analysis import fftanal, butter_lowpass
#fro... |
<filename>post_proc/errors_calc2_geospr.py<gh_stars>0
# -*- coding: utf-8 -*-
##
# \file errors_calc2_geospr.py
# \title Calculation of the errors and norms for the case1:
# geometrical spreading.
# \author <NAME>
# \version 0.1
# \license BSD 3-Clause License
# \inst UMRAE (Ifsttar Nantes), LA... |
from typing import Any
import os
import pytest
import numpy as np
from scipy import sparse
from jina import Flow, Document, DocumentArray, requests, Executor
from tests import validate_callback
cur_dir = os.path.dirname(os.path.abspath(__file__))
TOP_K = 3
@pytest.fixture(scope='function')
def num_docs():
ret... |
<filename>grama/mutate_helpers.py
__all__ = [
"abs",
"sin",
"cos",
"log",
"exp",
"sqrt",
"pow",
"floor",
"ceil",
"round",
"as_int",
"as_float",
"as_str",
"as_factor",
"fct_reorder",
"fillna",
"qnorm",
"pnorm",
"dnorm",
"pareto_min",
]
from... |
<gh_stars>0
from satlasaddon import RateModelDecay, RateModelPolar, convolve_with_gaussian
import satlas as sat
sat.set(['standard'])
import numpy as np
import matplotlib.pyplot as plt
import scipy.constants as csts
import copy
EV_TO_MHZ = csts.physical_constants['electron volt-hertz relationship'][0] * 1e-6
model_de... |
<gh_stars>0
import numpy
from ase.io.cube import read_cube_data
from ase.build import make_supercell
from ase.visualize.plot import plot_atoms
import os, os.path
from os.path import exists, join, dirname
import matplotlib.pyplot as plt
plt.style.use("science")
from scipy.interpolate import griddata
img_path = join... |
# -*- coding: utf-8 -*-
"""
Created on Thu Sep 28 13:49:12 2017
@author: ekrupczak on LaVision
Check time separation between frames from UTC file
"""
import pandas as pd
import datetime as dt
from fractions import Fraction
if __name__ == "__main__":
# camera = "tower_EO_12mm"
# camera = "pier_EO_08mm"
cam... |
#!/usr/bin/env python
#Bodies at Rest: Code to visualize real dataset.
#(c) <NAME>
#Major updates made for CVPR release: December 10, 2019
import numpy as np
import random
import copy
import sys
import os
sys.path.append(os.path.abspath('..'))
sys.path.insert(0, '../lib_py')
import lib_pyrender_basic as libPyRender... |
<reponame>Carlosriosch/BrucellaMelitensis
# -*- coding: utf-8 -*-
from __future__ import division
import numpy as np
from scipy import stats
from operator import itemgetter
import glob
# para una comunidad
def etapa_4(numero_de_comunidades, size_comunidad):
path_input = "./4/"
#input_files = ["./4/communit... |
#! /usr/bin/env python
from test.fail import As_fail, Y_fail
from scipy.stats import ortho_group
import unittest
import numpy as np
import os, sys
sys.path.append(os.path.dirname(os.path.dirname(os.path.abspath(__file__))))
from functools import reduce
from src.operations import invert
from src.kronprod import KronPro... |
'''
Schema of virus
'''
import re
import os
from datetime import datetime
import numpy as np
import scipy.io as sio
import datajoint as dj
import h5py as h5
from . import reference, subject, utilities, stimulation
schema = dj.schema(dj.config['custom'].get('database.prefix', '') + 'virus')
@schema
class VirusSourc... |
<reponame>scottbreitenstein/laserbeamsize<gh_stars>0
# pylint: disable=invalid-name
# pylint: disable=too-many-locals
# pylint: disable=too-many-arguments
# pylint: disable=too-many-statements
# pylint: disable=too-many-lines
# pylint: disable=protected-access
# pylint: disable=consider-using-enumerate
"""
A module fo... |
<reponame>hiroyasuakada/ros_start
from PIL import Image
from pathlib import Path
import os, glob, argparse
import numpy as np
import cv2
import matplotlib.pyplot as plt
from skimage.measure import compare_mse, compare_psnr, compare_ssim
import csv
from statistics import mean, median, variance, stdev
from natsort import... |
import argparse
import h5py
import numpy as np
import scipy.sparse as sp
def import_class(name):
try:
components = name.split('.')
module = __import__(components[0])
for c in components[1:]:
module = getattr(module, c)
except AttributeError:
module = None
retur... |
from scipy.stats import randint as sp_randint
from sklearn.ensemble import RandomForestClassifier, GradientBoostingClassifier, ExtraTreesClassifier
from sklearn.neural_network import MLPClassifier
from sklearn.linear_model import LogisticRegression
from sklearn.svm import SVC
from sklearn.neighbors import KNeighborsCla... |
<filename>ccyclegan_t20.py
from __future__ import print_function, division
import scipy
from keras.datasets import mnist
from keras_contrib.layers.normalization.instancenormalization import InstanceNormalization
from keras.layers import Input, Dense, Reshape, Flatten, Dropout, Concatenate
from keras.layers import Batc... |
import matplotlib.pyplot as plt
import numpy as np
import scipy.interpolate
from functions import *
##### Plot basic spline ######
x = np.array([0, 0.1, 0.2, 0.5, 0.7, 1.0])
spline = cubic_spline( x, x**3, 0, 3 )
x = np.linspace(0,1,50)
y = x**3 + 0.1
yhat = spline(x)
plt.plot(x, y, label='x^3 + 0.1')
plt.plot... |
<gh_stars>0
#!/usr/bin/env python3
from argparse import ArgumentParser
from typing import List, Dict, Sequence
import numpy as np
import pandas as pd
import matplotlib.pyplot as plt
import scipy.stats as st
from blau import BlauState, BlauAgent
def main():
ap = ArgumentParser()
ap.add_argument('--num_players... |
import numpy as np
import pickle
import matplotlib.pyplot as plt
from scipy.interpolate import griddata
def get_barycentric_coords(tensor):
"""
:param tensor: 3x3 anisotropic Reynolds stress tensor
:return: x and y barycentric coordinates
"""
# Compute barycentric coordinates from the eigenvalues ... |
import matplotlib.text as text
import pandas as pd
import numpy as np
import pylab as pl
import scipy as sp
import re
#from IPython.core.debugger import set_trace
import rpy2
from rpy2.robjects.packages import importr
from rpy2.robjects import pandas2ri,FloatVector,ListVector
from rpy2.rinterface import NULL
import s... |
<filename>test_net.py<gh_stars>1-10
# --------------------------------------------------------
# Tensorflow Faster R-CNN
# Licensed under The MIT License [see LICENSE for details]
# Written by <NAME>, <NAME>, based on code from <NAME>
# --------------------------------------------------------
from __future__ import abs... |
<filename>rlapy/utils/sketching.py<gh_stars>1-10
import warnings
import numpy as np
import scipy.linalg as la
import scipy.sparse as spar
from scipy.fft import dct
import scipy.sparse.linalg as sparla
def orthonormal_operator(n_rows, n_cols, rng):
if n_rows < n_cols:
return orthonormal_operator(n_cols, n_... |
import sympy
from einsteinpy.symbolic.tensor import Tensor
class MetricTensor(Tensor):
"""
Class to define a metric tensor for a space-time
"""
def __init__(self, arr, syms, config="ll"):
"""
Constructor and Initializer
Parameters
----------
arr : ~sy... |
<filename>econpizza/shooting.py<gh_stars>1-10
#!/bin/python
# -*- coding: utf-8 -*-
import sys
import time
import numpy as np
import scipy.optimize as so
from numba import njit, prange
def solve_current(model, shock, XLag, XLastGuess, XPrime, tol):
func = model["func"]
pars = np.array(list(model["parameters... |
# coding=utf-8
# Copyright 2021 The Uncertainty Baselines Authors.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
# http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by ap... |
import numpy as np
import pandas as pd
import xarray as xr
import Grid
import pf_dynamic_sph
from scipy.io import savemat, loadmat
import os
from timeit import default_timer as timer
import sys
from copy import deepcopy
if __name__ == "__main__":
start = timer()
# ---- INITIALIZE GRIDS ----
(Lx, Ly, Lz)... |
#!/usr/bin/env python3
import os
import tensorflow as tf
import cv2
from deepgaze.head_pose_estimation import CnnHeadPoseEstimator
from pathlib import Path
import json
import argparse
import tqdm
from scipy.spatial.distance import cosine as cosineDS
os.environ["CUDA_VISIBLE_DEVICES"] = "1"
PARSER = argparse.ArgumentPa... |
<filename>crys3d/hklview/cmdlineframes.py
from __future__ import absolute_import, division, print_function
# TODO:
# - prompt user for missing symmetry
# - cached scenes
r"""
Load mtz file for viewing reflections in a webbrowser using NGL.
Webbrowser input is a javascript file that together with ngl.js displays ... |
import numpy as np
import pandas as pd
from datetime import datetime
import time
import matplotlib.pyplot as plt
from sklearn.model_selection import train_test_split
from sklearn.tree import DecisionTreeClassifier
from sklearn.neural_network import MLPClassifier
from sklearn.svm import LinearSVC
from sklearn.n... |
<reponame>shilpiprd/sympy<filename>sympy/sets/handlers/intersection.py
from sympy import (S, Dummy, Lambda, symbols, Interval, Intersection, Set,
EmptySet, FiniteSet, Union, ComplexRegion, Mul)
from sympy.multipledispatch import dispatch
from sympy.sets.conditionset import ConditionSet
from sympy.set... |
<gh_stars>0
'''
Course_eval : “Course overall” teaching evaluation score, on a scale of 1 (very unsatisfactory) to 5 (excellent)
Beauty: Rating of instructor physical appearance by a panel of six students,
averaged across the six panelists, shifted to have mean zero
'''
import matplotlib.pyplot as plt
import panda... |
<filename>src/ramp_systems/decomposition.py<gh_stars>0
"""
Functions for decomposing a RampSystem at a loop characteristic cell.
"""
import DSGRN
import numpy as np
from ramp_systems.cyclic_feedback_system import CyclicFeedbackSystem
import dsgrn_utilities.graphtranslation as Gtrans
import itertools
import sympy
from ... |
<reponame>frico21/ferpy
#!/usr/bin/env python2
# -*- coding: utf-8 -*-
"""
Created on Sun Jun 3 13:27:06 2018
@author: frico
python 3.7.1
"""
version = '2'
"""
He comentado las lineas 79-82 de colis/hc3n_h2_faure16.f
"""
from ferpy import radtrasf_hc3n_runner_v6 as radtransf_hc3n
from ferpy import radtransf_modelp... |
import numpy as np
import matplotlib.pyplot as plt
from scipy.optimize import brenth, root, brentq, bisect
from scipy.constants import c, pi
from scipy.special import jv, kv, jvp, kvp
from scipy.interpolate import interp1d
from scipy.integrate import simps
import sys
import warnings
from pprint import pprint
from math... |
<filename>gravity/gravity7_exp_reshape.py
# https://stackoverflow.com/questions/47295473/how-to-plot-using-matplotlib-python-colahs-deformed-grid
"""
仍然有缺陷
1. 靠近边缘变化太剧烈
2. 靠近边缘的侵占而不是挤压后面的图形
3. 1 1 这个格点绘制的很奇怪
4. 靠近两个坐标轴的，坐标轴方向压缩了，另一个坐标轴方向却放大了。这感觉好像不太对呀。应该是各个方向都压缩
但如果是各个方向都压缩，那要如何绘制呢？如果一个区域，各个单元格都缩小了，那就会产生空隙，这感觉也不对。
或者是... |
import shutil
import subprocess
import tempfile
from pathlib import Path
from typing import Union
from zipfile import ZipFile
import zipfile
from io import RawIOBase
import numpy as np
from scipy.spatial.transform import Rotation
from d3d.abstraction import (ObjectTag, ObjectTarget3D, Target3DArray,
... |
import numpy as np
from scipy.stats import norm
import pandas
from models import ClassificationModel
import tensorflow as tf
mnist = tf.keras.datasets.mnist
(x_train, y_train),(x_test, y_test) = mnist.load_data()
x_train, x_test = x_train / 255.0, x_test / 255.0
def reshape_img(a):
flat = a.reshape((a.shape[0],a.... |
<filename>flownet.py
import os
os.environ['TF_CPP_MIN_LOG_LEVEL']='2'
from keras.engine.topology import Layer
from keras.models import Model, Sequential
from keras import activations
from keras.layers import Activation, Input, Reshape, merge, Lambda, Dropout, Flatten, Dense,LSTM
from keras.layers.merge import add,conca... |
<filename>instagram_aauto_account_liker/content processing/aspect_ratio_change.py
import cv2
import os
from pathlib import Path
from fractions import Fraction as frac
from moviepy.editor import *
def correct_size(height,width):
new_width ,new_height = 0,0
if height <= width:
new_height = heigh... |
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