Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
---|---|---|---|---|---|---|---|---|---|---|
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 | ||||||||||
Boostaroota | 139 | 2 | 6 years ago | 5 | January 22, 2018 | 3 | mit | Python | ||
A fast xgboost feature selection algorithm | ||||||||||
Btctrading | 83 | 6 years ago | 2 | mit | Jupyter Notebook | |||||
Time Series Forecast with Bitcoin value, to detect upward/down trends with Machine Learning Algorithms | ||||||||||
Mljar Examples | 55 | 5 months ago | 3 | apache-2.0 | Jupyter Notebook | |||||
Examples how MLJAR can be used | ||||||||||
Machine_learning_code | 52 | 4 years ago | Python | |||||||
《统计学习方法》与常见机器学习模型(GBDT/XGBoost/lightGBM/catBoost/FM/FFM)的原理讲解与python和类库实现 | ||||||||||
Linxgboost | 48 | 5 years ago | 2 | Python | ||||||
Extension of the awesome XGBoost to linear models at the leaves | ||||||||||
Ml Simulations | 28 | 7 years ago | R | |||||||
Animated Visualizations of Popular Machine Learning Algorithms | ||||||||||
Neptune Examples | 22 | 2 years ago | Jupyter Notebook | |||||||
Examples of using Neptune to keep track of your experiments (maintenance only). | ||||||||||
Mobile Price Prediction Classification Analysis | 10 | 10 months ago | mit | Jupyter Notebook | ||||||
Supervised Machine Learning Analysis Using Classification Models | ||||||||||
Ml_learning | 8 | 6 years ago | Python | |||||||
Recording Machine-Learning Notes & Codes everyday. 每日更新机器学习笔记、代码及其它内容。 |