| sql-machine-learning/sqlflow |
4,682 |
|
0 |
1 |
about 3 years ago |
1 |
November 19, 2019 |
250 |
apache-2.0 |
Go |
| Brings SQL and AI together. |
| jolibrain/deepdetect |
2,492 |
|
0 |
0 |
over 2 years ago |
0 |
|
92 |
other |
C++ |
| Deep Learning API and Server in C++14 support for Caffe, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE |
| MingchaoZhu/DeepLearning |
2,347 |
|
0 |
0 |
almost 6 years ago |
0 |
|
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 |
| szilard/benchm-ml |
1,839 |
|
0 |
0 |
over 3 years ago |
0 |
|
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.). |
| ClimbsRocks/auto_ml |
1,442 |
|
1 |
6 |
almost 7 years ago |
78 |
February 22, 2018 |
182 |
mit |
Python |
| [UNMAINTAINED] Automated machine learning for analytics & production |
| AxeldeRomblay/MLBox |
1,403 |
|
0 |
0 |
about 3 years ago |
21 |
August 25, 2020 |
26 |
other |
Python |
| MLBox is a powerful Automated Machine Learning python library. |
| ScottfreeLLC/AlphaPy |
1,003 |
|
0 |
0 |
over 2 years ago |
25 |
August 29, 2020 |
13 |
apache-2.0 |
Python |
| Automated Machine Learning [AutoML] with Python, scikit-learn, Keras, XGBoost, LightGBM, and CatBoost |
| benedekrozemberczki/awesome-gradient-boosting-papers |
930 |
|
0 |
0 |
almost 3 years ago |
0 |
|
1 |
cc0-1.0 |
Python |
| A curated list of gradient boosting research papers with implementations. |
| HunterMcGushion/hyperparameter_hunter |
635 |
|
1 |
0 |
about 5 years ago |
16 |
June 14, 2018 |
37 |
mit |
Python |
| Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries |
| zkywsg/Daily-DeepLearning |
532 |
|
0 |
0 |
about 2 years ago |
0 |
|
0 |
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 |
