code stringlengths 38 801k | repo_path stringlengths 6 263 |
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# + colab={"base_uri": "https://localhost:8080/"} id="eqZsGncVOEWu" execution... | Old-k20-model/kitchen20/training_script.ipynb |
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# # 作業
# - 新增一個欄位 `customized_age_grp`，把 `age` 分為 (0, ... | 2nd-ML100Days/homework/D-012/Day_012_HW.ipynb |
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import os
import sys
import math
import numpy as np
im... | simulations.ipynb |
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# # 06 - Model Deployment
#
# The purpose of this note... | 06-model-deployment.ipynb |
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# ## GitHub Data Analysis
#
# ## Introduction
# Every... | .ipynb_checkpoints/code-checkpoint.ipynb |
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# + id="CL9d1xURYbco" colab={"base_uri": "https://loca... | Project.ipynb |
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import pandas as pd
import nose.tools
# Write your imp... | 02.Data_Science/02.Data_Tidying_and_Cleaning/Data Tidying and Cleaning Lab.ipynb |
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# # Monetary Economics: Chapter 6
# ### Preliminaries... | godley_&_lavoie/Python 3 - Chapter 6 Model OPENM3.ipynb |
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from nltk.parse.generate import generate, demo_gra... | notebooks-pre-validators/Validation_Notebook_301_400.ipynb |
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# # School Analysis
#
# Trend 1 - School size seems to... | Academy of Py.ipynb |
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from sklearn.datasets import load_iris
from sklearn.de... | Chapter 02/Hello PCA-Classification.ipynb |
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import cv2
import numpy as np
from matplotlib import p... | src/examples.ipynb |
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import torch
import torch.nn as nn
import torch.nn... | Examples/Experiment_network/.ipynb_checkpoints/ppo network-checkpoint.ipynb |
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# # Chapter 2 - Linear Regression
# +
import sys
sys... | code examples/Chapter 2 - Linear Regression.ipynb |
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import re
regex101
# ### RegEx
#
# https://docs.pyt... | code/Regex.ipynb |
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# # <NAME> - Healthcare edition
# ### Building a clas... | UnivAiBlog/CoVID-49.ipynb |
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# # Now You Code 2: Is That An Email Address?
#
# Let'... | content/lessons/07/Now-You-Code/NYC2-Email-Address.ipynb |
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# + id="LGLgP-4B2xk1" colab_type="code" colab={}
# %matplotlib inline
import... | notebooks/v5_Age_classification.ipynb |
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# # Emotion detection using Spacy 3
#
# This notebook show how to do emotion ... | emotion_detection.ipynb |
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# # MapReduce
#
# The MapReduce programming technique ... | Spark/code/mapreduce_practice.ipynb |
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import pandas as pd
import numpy as np
from fu... | 2.1 [RECOVERED] Quadratic Regularization_new.ipynb |
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import numpy as np
import torch
import torch.nn as nn
... | Prioritized Experience Replay.ipynb |
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import matplotlib.pyplot as plt
import numpy as np
imp... | docs/source/Untitled.ipynb |
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import numpy as np
DATA = "1000000101000100"
def... | HW3/HW3.ipynb |
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# # Porting IDL to Python
import numpy as np
import i... | docs/notebooks/01.Porting IDL to Python.ipynb |
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# # Models
#
# ***
def f(x, p):
return p[0] + x *... | models.ipynb |
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# # Bauer-Fike Eigenvalue Sensitivity Bound
#
# Copyri... | cleared-demos/eigenvalue/Bauer-Fike Eigenvalue Sensitivity Bound.ipynb |
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# # KNN & PCA
import matplotlib.pyplot as plt
import ... | machinelearning/ml_python_knn_pca_1.ipynb |
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import matplotlib.pyplot as plt
import numpy as np
imp... | Ref/fig2_compare_all_method/m40/eps_machine_all_methods_m40_g05_2000.ipynb |
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# 
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# # Exercise: transient channels (do this ... | Channel_incision/Exercise_01_transient_channels.ipynb |
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# # README
#
# ### Dashboard
#
# Install NCBI [Entrez ... | notebooks/00-README.ipynb |
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import os
import seaborn as sns
import numpy as np
imp... | Urban Sound Classification.ipynb |
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# # Fazer um plot com o redshift e ... | redshift-plot.ipynb |
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# + [markdown] id="WbdSBVjN_LS1"
# # Save and Store Features
# In this notebo... | Notebooks/Training/Features.ipynb |
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import quandl
mydata = quandl.get('EIA/PET_RWTC_D')
... | 06-Data-Sources/Quandl.ipynb |
# -*- coding: utf-8 -*-
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# # Extract Keywords from a website: counting words
from langd... | notebooks/nlp/keywords-from_website_counting_words.ipynb |
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#import relevant libraries
import pandas as pd
im... | analysis-sample-json-ocds-award-data.ipynb |
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from IPython.display import HTML
# Cell visibilit... | ICCT_en/examples/01/.ipynb_checkpoints/M-05_Integrals_of_polynomials-checkpoint.ipynb |
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import torchvision.models as models
import numpy as np... | VGG.ipynb |
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def getMNErawArray(np_data_raw... | Pre-Processing/transform_data.ipynb |
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import torch
import torch.nn as nn
from torch.autograd... | wienerschnitzelgemeinschaft/src/Russ/se_resnext0.ipynb |
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# <center>
# <img src="images/meme.png">
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# + [markdown] origin_pos=0
# # 自然语言推断：使用注意力
# :label:`sec_natural-language-inference-attention`
#
# 我们在 :numref:`sec_natural-language-inferen... | submodules/resource/d2l-zh/pytorch/chapter_natural-language-processing-applications/natural-language-inference-attention.ipynb |
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# + active=""
# --- Day 6: Chronal Coordinates ---
# T... | day06.ipynb |
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# %matplotlib inline
# Convert to grayscale
# =======... | docs/source/auto_examples/image/compute_gray.ipynb |
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import pandas as pd
import prody as pry
import os
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import pickle as pk
import pandas as pd
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# + [markdown] slideshow={"slide_type": "slide"}
# # N... | notebooks/newton_euler_equations.ipynb |
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# # 载入必要的库
# +
import mxnet as mx
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# + [markdown] id="iHMqWczsik6_" colab_type="text"
# - Prove the following fa... | src/20iv_hw01.ipynb |
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# Bokeh's drawing tools are the basis for a wide range of functionality in EarthSim, using the convenient interface provided by [HoloViews](ht... | examples/user_guide/Drawing_Tools.ipynb |
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# # Getting started with DoWhy: A simple example
# Thi... | docs/source/example_notebooks/dowhy_simple_example.ipynb |
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# + [markdown] id="yRynVVFqczch"
# Inspired by [paper]... | notebooks/TSE_ExcessEntropy_calculation.ipynb |
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# %reload_ext autoreload
# %autoreload 2
# %matplotlib... | courses/dl1/Materialist-50.ipynb |
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# # Basic Model of Natural Selection
# This Python not... | code/notebooks/basic-model-natural-selection/basic-model-natural-selection.ipynb |
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# + [markdown] id="ZeiDFNocItQE"
# # install wikidataintegrator
# If the libr... | notebooks/LoginWikidata.ipynb |
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# # Write Component from YAML netlist
#
#
# Note that ... | notebooks/11_YAML_netlist.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | .ipynb_checkpoints/PGI-0-checkpoint.ipynb |
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# ## Build a Basic ML Model for Text Classification
#
... | NLP/Sentiment Analysis/Basic ML Model for Text Classification 2.ipynb |
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# + [markdown] chapterId="H1NeLCPx07M" id="chapter_nam... | notebooks/ShinsouGakushu_sample/Chapter11_Sample.ipynb |
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# name: python37764bittestenvcondaffaa0dab... | Advanced databases/Lab 4-5 (Analysis of input data and constraints of columns)/lab4_exampel.ipynb |
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# # Deploying the CNN - Sample Images
#
# In this tuto... | JNotebooks/cnn-cc-347-predict-CC12-wm-sample.ipynb |
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# %load_ext autoreload
# %autoreload 2
import num... | notebooks/.ipynb_checkpoints/03_test_S-CNN-checkpoint.ipynb |
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# ## Preprocess and validate e... | network_analysis/1_preprocess_network_data.ipynb |
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# + [markdown] id="8mcDdeK4X04d"
# #Preproccesing
# + id="roip2O1dG7rs" cola... | _notebooks/2021-01-08-stock_predictions.ipynb |
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"""
Part 2
"""
import matplotlib.pyplot as plt
imp... | main.ipynb |
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# + [markdown] id="5rmpybwysXGV"
# ##### Copyright 2020 The TensorFlow Author... | Tensorflow Tutorial/basics.ipynb |
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# + [markdown] id="gFESaUmfsU2e" colab_type="text"
# # Comparativo de solver... | notebooks/Programacion/Comparacion_Lagrange_Newton.ipynb |
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# # Utilities
#
# ## Theory
# ### 1.- Convecity
# +
#... | psets/02/Utilities.ipynb |
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import tensorflow as tf
import random
import numpy... | (logCoral-tensorlfow)Siamese_network(TR1+TS2).ipynb |
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# ** Step -1: Import Libraries**
import numpy as np
i... | 04 - Classification/Batch2/Number_Classification/06 - Classify Numbers.ipynb |
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# # Compare sic codes and descriptions from va... | notebooks/compare_sic_lists.ipynb |
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# Headers del archivo:
# %matplotlib inline
import ti... | .ipynb_checkpoints/mattest-checkpoint.ipynb |
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import json
f=open("../lib/datasets/lists/PoseTra... | tools/debug.ipynb |
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# # AequilibraE Routing
#
# Inputs: demand, network
#... | Small_Network_Examples/Lima/Route.ipynb |
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# ## Ingestion of manual annotations of the HLCA and r... | notebooks/1_building_and_annotating_the_atlas_core/07_manual_ann_ingestion_and_removal_of_doublets_etc.ipynb |
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# # Nibelungenlied and Völsunga saga
# Not only do t... | sigurd/notebooks/.ipynb_checkpoints/sigfried_or_sigurdr-checkpoint.ipynb |
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import pandas as pd
import matplotlib.pyplot as plt
im... | dataPreprocessingAnalysis.ipynb |
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# title: "Dictionary Basics"
# author: "<NAME>"
# date: 2017-12-20T11:53:49-07:00
# description: "Dictionary basics in Python."
# type: technical_note
# draft: false
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from datetime import datetime
import numpy as np
... | .ipynb_checkpoints/Preprocessing-checkpoint.ipynb |
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# ## Softmax regression in sklearn
# +
from IPython.d... | codici/.ipynb_checkpoints/softmax-checkpoint.ipynb |
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# start context
spark
# Imports
import sparknlp_jsl
... | platforms/emr/NLP_EMR_Setup.ipynb |
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# # ANTsPy Tutorial
#
# In this tutorial, ... | Code/tut-ANTsPy Tutorial.ipynb |
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# title: "Find Uniqueness in a column without null values"
# author: "Charles"
# date: 2020-08-15
# description: "-"
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import torch
from torch import nn
from tq... | examples/example_01.ipynb |
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# library for data manipulation
import pandas as pd
# ... | IPL problem 2.ipynb |
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# # Python Exercises 1
# # 1.
import numpy as np
impo... | Mathematics - Cognitive Systems-checkpoint.ipynb |
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from sklearn import *
from sklearn.preprocessing i... | ensemble_flight.ipynb |
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# + [markdown] id="view-in-github" colab_type="text"
# <a href="https://colab... | Module3/Module_3.3_Application_of_RL_in_Finance_TensorTrader_example.ipynb |
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import matplotlib.pyplot as plt
imp... | Untitled.ipynb |
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# # Quantum Feature Spaces and Kernels
#
# <div class=... | notebooks/summer-school/2021/lec6.2.ipynb |
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from qiskit.visualization import pl... | qiskit-3.ipynb |