| microsoft/LightGBM |
15,819 |
|
278 |
574 |
about 2 years ago |
34 |
September 12, 2023 |
345 |
mit |
C++ |
| A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used for ranking, classification and many other machine learning tasks. |
| NLP-LOVE/ML-NLP |
10,874 |
|
0 |
0 |
over 4 years ago |
0 |
|
29 |
|
Jupyter Notebook |
| 此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现，也是作为一个算法工程师必会的理论基础知识。 |
| microsoft/SynapseML |
4,914 |
|
0 |
6 |
about 2 years ago |
12 |
November 27, 2023 |
335 |
mit |
Scala |
| Simple and Distributed Machine Learning |
| mljar/mljar-supervised |
2,867 |
|
0 |
2 |
about 2 years ago |
84 |
September 26, 2023 |
141 |
mit |
Python |
| Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation |
| microsoft/DMTK |
2,746 |
|
0 |
0 |
over 7 years ago |
0 |
|
1 |
mit |
|
| Microsoft Distributed Machine Learning Toolkit |
| TeamHG-Memex/eli5 |
2,695 |
|
0 |
0 |
almost 4 years ago |
11 |
May 14, 2022 |
152 |
mit |
Jupyter Notebook |
| A library for debugging/inspecting machine learning classifiers and explaining their predictions |
| mars-project/mars |
2,664 |
|
0 |
1 |
over 2 years ago |
118 |
June 12, 2022 |
212 |
apache-2.0 |
Python |
| Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions. |
| microsoft/forecasting |
2,540 |
|
0 |
0 |
almost 3 years ago |
0 |
|
0 |
mit |
Python |
| Time Series Forecasting Best Practices & Examples |
| BayesWitnesses/m2cgen |
2,411 |
|
0 |
3 |
about 3 years ago |
13 |
April 26, 2022 |
43 |
mit |
Python |
| Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies |
| benedekrozemberczki/awesome-decision-tree-papers |
2,266 |
|
0 |
0 |
about 2 years ago |
0 |
|
1 |
cc0-1.0 |
Python |
| A collection of research papers on decision, classification and regression trees with implementations. |
