Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
Sqlflow | 4,682 | 1 | a year ago | 1 | November 19, 2019 | 250 | apache-2.0 | Go | ||
Brings SQL and AI together. | ||||||||||
Deepdetect | 2,492 | 3 months ago | 92 | other | C++ | |||||
Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE | ||||||||||
Deeplearning | 2,347 | 4 years ago | 3 | mit | Python | |||||
Python for《Deep Learning》,该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现 | ||||||||||
Benchm Ml | 1,839 | 2 years ago | 11 | mit | R | |||||
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.). | ||||||||||
Auto_ml | 1,442 | 1 | 6 | 5 years ago | 78 | February 22, 2018 | 182 | mit | Python | |
[UNMAINTAINED] Automated machine learning for analytics & production | ||||||||||
Mlbox | 1,403 | a year ago | 21 | August 25, 2020 | 26 | other | Python | |||
MLBox is a powerful Automated Machine Learning python library. | ||||||||||
Alphapy | 1,003 | 4 months ago | 25 | August 29, 2020 | 13 | apache-2.0 | Python | |||
Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost | ||||||||||
Awesome Gradient Boosting Papers | 930 | 10 months ago | 1 | cc0-1.0 | Python | |||||
A curated list of gradient boosting research papers with implementations. | ||||||||||
Hyperparameter_hunter | 635 | 1 | 3 years ago | 16 | June 14, 2018 | 37 | mit | Python | ||
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries | ||||||||||
Daily Deeplearning | 532 | 3 months ago | mit | Jupyter Notebook | ||||||
🔥机器学习/深度学习/Python/算法面试/自然语言处理教程/剑指offer/machine learning/deeplearning/Python/Algorithm interview/NLP Tutorial |