| Project Name | Stars | Downloads | Repos Using This | Packages Using This | Most Recent Commit | Total Releases | Latest Release | Open Issues | License | Language |
|---|---|---|---|---|---|---|---|---|---|---|
| Hyperparameter Optimization Of Machine Learning Algorithms | 1,025 | 2 years ago | mit | Jupyter Notebook | ||||||
| Implementation of hyperparameter optimization/tuning methods for machine learning & deep learning models (easy&clear) | ||||||||||
| Smac3 | 938 | 1 | 4 months ago | 9 | September 21, 2022 | 84 | other | Python | ||
| SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization | ||||||||||
| Rrcf | 450 | 8 months ago | 27 | mit | Python | |||||
| 🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams | ||||||||||
| Chefboost | 428 | 4 months ago | 17 | February 16, 2022 | mit | Python | ||||
| A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting, Random Forest and Adaboost w/categorical features support for Python | ||||||||||
| User Machine Learning Tutorial | 386 | 6 years ago | 1 | apache-2.0 | Jupyter Notebook | |||||
| useR! 2016 Tutorial: Machine Learning Algorithmic Deep Dive http://user2016.org/tutorials/10.html | ||||||||||
| Sharplearning | 372 |  | 6 | 14 | 3 months ago | 42 | July 12, 2020 | 47 | mit | C# |
| Machine learning for C# .Net | ||||||||||
| The Python Workshop | 245 | 5 months ago | 12 | mit | Jupyter Notebook | |||||
| A New, Interactive Approach to Learning Python | ||||||||||
| P2rank | 193 | 3 months ago | 15 | mit | Groovy | |||||
| P2Rank: Protein-ligand binding site prediction tool based on machine learning. Stand-alone command line program / Java library for predicting ligand binding pockets from protein structure. | ||||||||||
| Betaml.jl | 83 | 3 months ago | 7 | mit | Julia | |||||
| Beta Machine Learning Toolkit | ||||||||||
| Fastrank | 48 |  | 1 | 6 months ago | 5 | October 11, 2019 | 18 | mit | Rust | |
| My most frequently used learning-to-rank algorithms ported to rust for efficiency. Try it: "pip install fastrank". | ||||||||||
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