30 results found Sort:

3.2k
21.9k
mit
240
A game theoretic approach to explain the output of any machine learning model.
Created 2016-11-22
2,659 commits to master branch, last one 3 days ago
3.8k
16.2k
mit
435
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
3,478 commits to master branch, last one 2 days ago
1.5k
9.5k
lgpl-3.0
287
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 3 months ago
1.2k
7.8k
apache-2.0
192
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
47,994 commits to master branch, last one 14 hours ago
215
1.6k
apache-2.0
44
Natural Gradient Boosting for Probabilistic Prediction
Created 2018-06-21
706 commits to master branch, last one 3 months ago
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
Created 2019-09-11
402 commits to master branch, last one about a month ago
92
884
apache-2.0
31
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This repository has been archived (exclude archived)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
105
649
apache-2.0
25
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
Created 2021-04-22
607 commits to main branch, last one 23 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
102
445
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
383 commits to master branch, last one 5 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
819 commits to main branch, last one 17 hours ago
27
316
mit
10
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
Created 2021-04-27
278 commits to master branch, last one 4 months ago
57
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
20
175
apache-2.0
7
Boosted trees in Julia
Created 2019-01-08
998 commits to main branch, last one 2 months ago
22
156
lgpl-3.0
7
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Created 2023-03-24
266 commits to main branch, last one 14 days ago
5
98
other
13
Train Gradient Boosting models that are both high-performance *and* Fair!
Created 2022-03-28
2,603 commits to main-fairgbm branch, last one 4 months ago
69
93
gpl-2.0
12
This repository has no description...
Created 2014-01-13
103 commits to master branch, last one about a year 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 3 days ago
Adaptive and automatic gradient boosting computations.
Created 2019-09-03
249 commits to master branch, last one 2 years 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
In this project I implemented two machine learning algorithms to predicts the outcome of a League of Legends game.
Created 2022-01-23
41 commits to master branch, last one about a year ago
5
31
apache-2.0
1
LightGBM + Optuna: Auto train LightGBM directly from CSV files, Auto tune them using Optuna, Auto serve best model using FastAPI. Inspired by Abhishek Thakur's AutoXGB.
Created 2022-02-12
15 commits to main branch, last one 2 years ago
Competing Risks and Survival Analysis
Created 2023-05-15
162 commits to main branch, last one 5 months ago