The popular python open-source projects on github (持續更新)
節錄社群分享。
深度學習：
(1) TensorFlow(版本1.x，2.x與CUDA配版搞死人)
• GitHub: https://github.com/tensorflow/models
(2) Keras (google正式整併 →災難的開始)
• GitHub: https://github.com/keras-team/keras
(3) PyTorch (學術界愛用)
• GitHub: https://github.com/pytorch/pytorch
(4) Caffee(現在沒啥人用)
• GitHub: https://github.com/BVLC/caffe
(5) Theano(現在沒啥人用)
• GitHub: https://github.com/Theano/Theano
(6) TFlearn (建構於 TensorFlow上，現在沒啥人用)
• GitHub: https://github.com/tflearn/tflearn
電腦視覺：
(1) Mask R-CNN (物體偵測及分割)
• GitHub: https://github.com/matterport/Mask_RCNN
(2) Face Recognition (人臉辨識)
• GitHub: https://github.com/ageitgey/face_recognition
(3) Detectorn (物體偵測)
• GitHub: https://github.com/facebookresearch/Detectron
(4) Luminoth (電腦視覺)
• GitHub: https://github.com/tryolabs/luminoth
機器學習：
(1) Scikit-Learn
• GitHub: https://github.com/scikit-learn
(2) mlxtend (包含許多 sklearn 尚未支援的 ML 演算法)
• GitHub: https://github.com/rasbt/mlxtend/
(3) XGBoost (Kaggle 競賽神器)
• GitHub: https://github.com/dmlc/xgboost/tree/master/python-package
(4) Prophet (時間序列資料預測)
• GitHub: https://github.com/facebook/prophet
自然語言處理：
(1) NLTK
• GitHub: https://github.com/nltk/nltk
(2) spaCy (進階自然語言處理)
• GitHub: https://github.com/explosion/spaCy
資料分析與數值運算：
(1) Pandas (資料表處理、分析、視覺化)
• GitHub: https://github.com/pandas-dev/pandas
(2) Numpy (陣列運算)
https://github.com/numpy/numpy
(3) Statsmodels (統計分析)
• GitHub: https://github.com/statsmodels/statsmodels
(4) SymPy (符號數學計算)
• GitHub: https://github.com/sympy/sympy
資料視覺化：
(1) Matplotlib
• GitHub: https://github.com/matplotlib/matplotlib
(2) Seaborn
• GitHub: https://github.com/mwaskom/seaborn
(3) Plotly (互動式視覺化)
• GitHub: https://github.com/plotly/plotly.py
(4) Bokeh (網頁互動式視覺化)
• GitHub: https://github.com/bokeh/bokeh
(5) Dash (網頁數據分析應用程式)
• GitHub: https://github.com/plotly/dash
(6) Visdom (視覺化製作及分享)
• GitHub: https://github.com/facebookresearch/visdom
(7) NetworkX (社會網路分析圖)
• GitHub: https://github.com/networkx
爬蟲：
(1) Google Images Download
• GitHub: https://github.com/hardikvasa/google-images-download
(2) Youtube-dl (Youtube 影片下載)
• GitHub: https://github.com/rg3/youtube-dl
(3) Requests (網路資料擷取)
• GitHub: https://github.com/requests/requests
(4) Scrapy (網路爬蟲)
• GitHub:https://github.com/scrapy/scrapy
(5) Pattern (網路資料探勘)
• GitHub: https://github.com/clips/pattern
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