39 results found Sort:

shap
shap shap
3.4k
23.8k
mit
245
A game theoretic approach to explain the output of any machine learning model.
shap shapley deep-learning explainability interpretability machine-learning gradient-boosting
Created 2016-11-22
2,827 commits to master branch, last one 9 hours ago
microsoft
LightGBM microsoft
3.9k
17.2k
mit
436
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...
r gbm gbdt gbrt kaggle python lightgbm parallel microsoft data-mining distributed decision-trees machine-learning gradient-boosting
Created 2016-08-05
3,654 commits to master branch, last one 4 days ago
ddbourgin
numpy-ml ddbourgin
3.8k
16.1k
gpl-3.0
459
Machine learning, in numpy
knn vae lstm mfcc resnet wavenet wgan-gp word2vec attention topic-modeling neural-networks machine-learning gradient-boosting bayesian-inference gaussian-processes hidden-markov-models good-turing-smoothing reinforcement-learning gaussian-mixture-models
Created 2019-04-06
348 commits to master branch, last one 3 years ago
EpistasisLab
tpot EpistasisLab
1.6k
9.9k
lgpl-3.0
286
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
nia adsp aiml automl python ag066833 alzheimer alzheimers automation u01ag066833 data-science scikit-learn random-forest model-selection machine-learning parameter-tuning gradient-boosting feature-engineering automated-machine-learning hyperparameter-optimization
Created 2015-11-03
527 commits to main branch, last one about a month ago
catboost
catboost catboost
1.2k
8.4k
apache-2.0
189
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...
r gbm gpu cuda gbdt coreml kaggle python big-data catboost tutorial data-mining data-science gpu-computing decision-trees machine-learning gradient-boosting categorical-features
Created 2017-07-18
49,377 commits to master branch, last one a day ago
interpretml
interpret interpretml
745
6.5k
mit
144
Fit interpretable models. Explain blackbox machine learning.
ai iml xai bias blackbox interpretml scikit-learn transparency explainability explainable-ai explainable-ml interpretability interpretable-ai interpretable-ml machine-learning gradient-boosting differential-privacy artificial-intelligence interpretable-machine-learning
Created 2019-05-03
3,694 commits to main branch, last one 4 days ago
benedekrozemberczki
awesome-decision-tree-papers benedekrozemberczki
341
2.4k
cc0-1.0
129
A collection of research papers on decision, classification and regression trees with implementations.
cart xgboost catboost lightgbm classifier decision-tree random-forest tree-ensemble regression-tree machine-learning ensemble-learning gradient-boosting decision-tree-model classification-model classification-trees statistical-learning decision-tree-learning decision-tree-classifier gradient-boosting-machine machine-learning-research
Created 2019-05-11
281 commits to master branch, last one about a year ago
stanfordmlgroup
ngboost stanfordmlgroup
231
1.7k
apache-2.0
43
Natural Gradient Boosting for Probabilistic Prediction
python ngboost machine-learning gradient-boosting natural-gradients uncertainty-estimation
Created 2018-06-21
723 commits to master branch, last one 18 days ago
benedekrozemberczki
awesome-fraud-detection-papers benedekrozemberczki
312
1.7k
cc0-1.0
71
A curated list of data mining papers about fraud detection.
churn classifier data-mining data-science deep-learning fraud-checker random-forest classification credit-scoring fraud-explorer fraud-detection link-prediction fraud-management fraud-prevention credit-card-fraud gradient-boosting logistic-regression graph-classification credit-card-validation credit-card-fraud-detection
Created 2019-05-27
175 commits to master branch, last one about a year ago
ClimbsRocks
auto_ml ClimbsRocks
312
1.6k
mit
98
[UNMAINTAINED] Automated machine learning for analytics & production
keras automl python xgboost lightgbm analytics tensorflow data-science deeplearning scikit-learn deep-learning machine-learning production-ready gradient-boosting feature-engineering artificial-intelligence machine-learning-library automated-machine-learning machine-learning-pipelines hyperparameter-optimization
Created 2016-08-07
1,149 commits to master branch, last one 7 years ago
TorchEnsemble-Community
Ensemble-Pytorch TorchEnsemble-Community
95
1.0k
bsd-3-clause
11
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
bagging pytorch ensemble deeplearning deep-learning neural-networks pytorch-tutorial ensemble-learning gradient-boosting voting-classifier
Created 2019-09-11
404 commits to master branch, last one 10 months ago
benedekrozemberczki
awesome-gradient-boosting-papers benedekrozemberczki
158
1.0k
cc0-1.0
49
A curated list of gradient boosting research papers with implementations.
h2o xgboost adaboost boosting catboost lightgbm classifier decision-tree deep-learning random-forest machine-learning gradient-boosting xgboost-algorithm classification-tree classification-trees gradient-boosted-trees classification-algorithm gradient-boosting-machine gradient-boosting-classifier gradient-boosting-decision-trees
Created 2019-05-11
206 commits to master branch, last one about a year ago
sberbank-ai-lab
LightAutoML sberbank-ai-lab
96
925
apache-2.0
31
LAMA - automatic model creation framework
nlp lama automl kaggle pytorch blackbox pipeline stacking whitebox ensembling multiclass regression data-science linear-model classification model-selection parameter-tuning gradient-boosting feature-engineering automated-machine-learning
This repository has been archived (exclude archived)
Created 2020-02-13
497 commits to master branch, last one 3 years ago
tensorflow
decision-forests tensorflow
113
679
apache-2.0
22
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
ml keras python tensorflow random-forest decision-trees decision-forest interpretability machine-learning gradient-boosting
Created 2021-04-22
640 commits to main branch, last one 11 days ago
x4nth055
emotion-recognition-using-speech x4nth055
242
622
mit
22
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
mfcc keras librosa sklearn deep-learning mlp-classifier neural-networks machine-learning emotion-detection gradient-boosting emotion-recognizer feature-extraction emotion-recognition kneighborsclassifier support-vector-machine random-forest-classifier recurrent-neural-networks speech-emotion-recognition
Created 2019-04-27
80 commits to master branch, last one about a year ago
google
yggdrasil-decision-forests google
59
562
apache-2.0
14
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
go ml cli cpp cart pypi python javascript tensorflow random-forest decision-trees decision-forest interpretability machine-learning gradient-boosting distributed-computing
Created 2021-04-22
1,122 commits to main branch, last one 5 days ago
serengil
chefboost serengil
101
475
mit
16
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 ...
gbm id3 cart gbdt gbrt kaggle python adaboost c45-trees data-mining data-science random-forest decision-trees regression-tree machine-learning gradient-boosting categorical-features gradient-boosting-machine gradient-boosting-machines
Created 2019-03-06
405 commits to master branch, last one 21 days ago
perpetual-ml
perpetual perpetual-ml
24
460
gpl-3.0
7
A self-generalizing gradient boosting machine that doesn't need hyperparameter optimization
gbm gbdt rust kaggle python machine-learning gradient-boosting gradient-boosted-trees gradient-boosting-decision-trees
Created 2024-05-20
141 commits to main branch, last one 10 days ago
siboehm
lleaves siboehm
33
414
mit
9
Compiler for LightGBM gradient-boosted trees, based on LLVM. Speeds up prediction by ≥10x.
llvm python lightgbm decision-trees machine-learning gradient-boosting
Created 2021-04-27
292 commits to master branch, last one 4 months ago
EpistasisLab
tpot2 EpistasisLab
31
230
lgpl-3.0
9
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
nia adsp aiml automl python ag066833 lm010098 alzheimer alzheimers automation data-science scikit-learn random-forest model-selection machine-learning parameter-tuning gradient-boosting feature-engineering automated-machine-learning hyperparameter-optimization
Created 2023-03-24
517 commits to main branch, last one 2 months ago
cheng-li
pyramid cheng-li
54
186
apache-2.0
30
Open source Machine Learning library written in Java
java machine-learning gradient-boosting machine-learning-library multi-label-classification
Created 2014-09-30
2,555 commits to master branch, last one 4 years ago
Evovest
EvoTrees.jl Evovest
22
182
apache-2.0
5
Boosted trees in Julia
gbrt julia poisson logistic quantile regression boosted-trees decision-tree gradientboosting machine-learning gradient-boosting
Created 2019-01-08
1,009 commits to main branch, last one about a month ago
feedzai
fairgbm feedzai
6
104
other
12
Train Gradient Boosting models that are both high-performance *and* Fair!
gbm fairness lightgbm fairness-ml tabular-data gradient-boosting
Created 2022-03-28
2,605 commits to main-fairgbm branch, last one 10 months ago
benedekrozemberczki
tigerlily benedekrozemberczki
9
99
apache-2.0
2
TigerLily: Finding drug interactions in silico with the Graph.
ddi node graph biology embedding tigergraph deep-learning graph-database node-embedding graph-embedding knowledge-graph network-science pharmaceuticals machine-learning gradient-boosting heterogeneous-graph drug-drug-interaction unsupervised-learning graph-machine-learning
Created 2022-02-28
104 commits to main branch, last one 2 years ago
soda-inria
hazardous soda-inria
17
95
mit
8
Competing Risks and Survival Analysis
data-science competing-risks machine-learning gradient-boosting survival-analysis
Created 2023-05-15
197 commits to main branch, last one about a month ago
qiyiping
gbdt qiyiping
69
94
gpl-2.0
11
This repository has no description...
gbm gbdt gbrt machine-learning gradient-boosting boosting-algorithms gradient-boosting-machine gradient-boosting-decision-trees
Created 2014-01-13
103 commits to master branch, last one 2 years ago
Timur-Maistermind
Machine-Learning-Roadmap Timur-Maistermind
7
80
apache-2.0
1
Machine Learning Roadmap for 2025. Step-by-step guide to become a Data Scientist. Covers the best free learning resources from Python basics to Deep Learning and MLOps.
data genai roadmap data-mining data-science deep-learning machine-learning gradient-boosting machine-learning-algorithms
Created 2025-02-26
126 commits to main branch, last one 13 days ago
Blunde1
agtboost Blunde1
11
68
mit
3
Adaptive and automatic gradient boosting computations.
machine-learning adaptive-learning gradient-boosting information-theory
Created 2019-09-03
249 commits to master branch, last one 3 years ago
bsharchilev
influence_boosting bsharchilev
18
67
unknown
7
Supporting code for the paper "Finding Influential Training Samples for Gradient Boosted Decision Trees"
paper python catboost machine-learning gradient-boosting influence-functions machine-learning-algorithms
Created 2018-02-15
30 commits to master branch, last one 10 months ago
aertslab
arboreto aertslab
30
57
bsd-3-clause
5
A scalable python-based framework for gene regulatory network inference using tree-based ensemble regressors.
dask python network scalable inference random-forest gene-regulation machine-learning ensemble-learning gradient-boosting
Created 2017-10-17
211 commits to master branch, last one about a year ago