110 results found Sort:

1.6k
9.8k
lgpl-3.0
288
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Created 2015-11-03
2,440 commits to master branch, last one 9 months ago
2k
6.9k
apache-2.0
386
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Me...
Created 2014-03-03
32,553 commits to master branch, last one 20 days ago
1.0k
4.9k
other
188
🍊 :bar_chart: :bulb: Orange: Interactive data analysis
Created 2013-02-22
15,480 commits to master branch, last one 4 days ago
Practice and tutorial-style notebooks covering wide variety of machine learning techniques
Created 2017-07-17
502 commits to master branch, last one 2 years ago
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Created 2018-11-05
1,223 commits to master branch, last one 7 days ago
335
3.0k
mit
46
A python library for decision tree visualization and model interpretation.
Created 2018-08-13
621 commits to master branch, last one 3 months ago
334
1.9k
mit
148
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 algor...
Created 2015-03-28
522 commits to master branch, last one 5 years ago
利用pytorch实现图像分类的一个完整的代码,训练,预测,TTA,模型融合,模型部署,cnn提取特征,svm或者随机森林等进行分类,模型蒸馏,一个完整的代码
Created 2020-04-19
31 commits to master branch, last one about a year ago
425
1.3k
unknown
89
This is the official implementation for the paper 'Deep forest: Towards an alternative to deep neural networks'
Created 2017-06-01
27 commits to master branch, last one 3 years ago
227
1.1k
other
42
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
Created 2016-08-17
2,074 commits to main branch, last one 4 months ago
251
975
gpl-3.0
48
Generalized Random Forests
Created 2016-08-12
2,101 commits to master branch, last one 18 days ago
162
925
other
20
An Efficient, Scalable and Optimized Python Framework for Deep Forest (2021.2.1)
Created 2021-01-27
122 commits to master branch, last one about a year ago
284
864
unknown
89
gesture recognition toolkit
Created 2014-01-03
897 commits to master branch, last one 5 years ago
88
695
apache-2.0
26
ThunderGBM: Fast GBDTs and Random Forests on GPUs
Created 2016-11-11
611 commits to master branch, last one 10 months ago
110
663
apache-2.0
24
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Created 2021-04-22
625 commits to main branch, last one 13 days ago
Machine Learning library for the web and Node.
Created 2018-04-29
805 commits to master branch, last one 5 years ago
32
523
bsd-2-clause
7
Fast SHAP value computation for interpreting tree-based models
Created 2022-01-24
40 commits to master branch, last one about a year ago
54
522
mit
16
Machine Learning inference engine for Microcontrollers and Embedded devices
Created 2018-03-16
670 commits to master branch, last one 4 months ago
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
Created 2021-04-22
1,017 commits to main branch, last one 5 hours ago
112
498
mit
19
🌲 Implementation of the Robust Random Cut Forest algorithm for anomaly detection on streams
Created 2018-10-20
266 commits to master branch, last one about a year ago
101
460
mit
18
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 ...
Created 2019-03-06
404 commits to master branch, last one about a month ago
11
441
agpl-3.0
4
Visualize decision trees in Python
Created 2024-07-24
117 commits to main branch, last one 13 days ago