35 results found Sort:

3.3k
22.8k
mit
244
A game theoretic approach to explain the output of any machine learning model.
Created 2016-11-22
2,771 commits to master branch, last one 22 days ago
3.8k
16.7k
mit
434
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 tas...
Created 2016-08-05
3,599 commits to master branch, last one a day ago
1.6k
9.7k
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 8 months ago
1.2k
8.1k
apache-2.0
191
A fast, scalable, high performance Gradient Boosting on Decision Trees library, used for ranking, classification, regression and other machine learning tasks for Python, R, Java, C++. Supports computa...
Created 2017-07-18
48,751 commits to master branch, last one 20 hours ago
218
1.7k
apache-2.0
44
Natural Gradient Boosting for Probabilistic Prediction
Created 2018-06-21
709 commits to master branch, last one 9 days ago
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
Created 2019-09-11
404 commits to master branch, last one 4 months ago
92
901
apache-2.0
32
LAMA - automatic model creation framework
This repository has been archived (exclude archived)
Created 2020-02-13
497 commits to master branch, last one 2 years ago
109
659
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
623 commits to main branch, last one 9 days ago
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Created 2019-04-27
80 commits to master branch, last one about a year 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
991 commits to main branch, last one 6 days ago
101
456
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 7 days ago
31
367
mit
10
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
Created 2021-04-27
288 commits to master branch, last one 2 months ago
10
276
agpl-3.0
6
A self-generalizing gradient boosting machine which doesn't need hyperparameter optimization
Created 2024-05-20
82 commits to main branch, last one 5 days ago
28
201
lgpl-3.0
10
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Created 2023-03-24
463 commits to main branch, last one a day ago
55
187
apache-2.0
31
Open source Machine Learning library written in Java
Created 2014-09-30
2,555 commits to master branch, last one 4 years ago
21
176
apache-2.0
7
Boosted trees in Julia
Created 2019-01-08
998 commits to main branch, last one 7 months ago
5
103
other
13
Train Gradient Boosting models that are both high-performance *and* Fair!
Created 2022-03-28
2,605 commits to main-fairgbm branch, last one 5 months ago
69
93
gpl-2.0
12
This repository has no description...
Created 2014-01-13
103 commits to master branch, last one 2 years ago
Adaptive and automatic gradient boosting computations.
Created 2019-09-03
249 commits to master branch, last one 2 years ago
Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
Created 2018-02-15
30 commits to master branch, last one 5 months ago
Competing Risks and Survival Analysis
Created 2023-05-15
182 commits to main branch, last one 2 months ago
24
52
bsd-3-clause
6
A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
Created 2017-10-17
211 commits to master branch, last one 7 months ago
The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.
Created 2022-07-18
21 commits to master branch, last one about a year ago