37 results found Sort:

shap
shap shap
3.3k
23.0k
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
2,775 commits to master branch, last one 13 days ago
microsoft
LightGBM microsoft
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...
r gbm gbdt gbrt kaggle python lightgbm parallel microsoft data-mining distributed decision-trees machine-learning gradient-boosting
Created 2016-08-05
3,603 commits to master branch, last one 2 days ago
ddbourgin
numpy-ml ddbourgin
3.7k
15.6k
gpl-3.0
460
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 2 years ago
EpistasisLab
tpot EpistasisLab
1.6k
9.8k
lgpl-3.0
288
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
2,440 commits to master branch, last one 9 months ago
catboost
catboost catboost
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...
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
48,836 commits to master branch, last one 10 hours ago
interpretml
interpret interpretml
735
6.3k
mit
146
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
3,509 commits to develop branch, last one 21 hours ago
benedekrozemberczki
awesome-decision-tree-papers benedekrozemberczki
335
2.4k
cc0-1.0
131
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 8 months ago
stanfordmlgroup
ngboost stanfordmlgroup
219
1.7k
apache-2.0
44
Natural Gradient Boosting for Probabilistic Prediction
python ngboost machine-learning gradient-boosting natural-gradients uncertainty-estimation
Created 2018-06-21
709 commits to master branch, last one about a month ago
ClimbsRocks
auto_ml ClimbsRocks
310
1.6k
mit
97
[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 6 years ago
benedekrozemberczki
awesome-fraud-detection-papers benedekrozemberczki
301
1.6k
cc0-1.0
75
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 8 months ago
TorchEnsemble-Community
Ensemble-Pytorch TorchEnsemble-Community
95
1.1k
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 5 months ago
benedekrozemberczki
awesome-gradient-boosting-papers benedekrozemberczki
155
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 8 months ago
sberbank-ai-lab
LightAutoML sberbank-ai-lab
93
905
apache-2.0
32
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 2 years ago
tensorflow
decision-forests tensorflow
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.
ml keras python tensorflow random-forest decision-trees decision-forest interpretability machine-learning gradient-boosting
Created 2021-04-22
625 commits to main branch, last one 13 days ago
x4nth055
emotion-recognition-using-speech x4nth055
233
589
mit
23
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
55
503
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
1,017 commits to main branch, last one 5 hours ago
serengil
chefboost serengil
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 ...
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
404 commits to master branch, last one about a month ago
siboehm
lleaves siboehm
31
372
mit
10
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
289 commits to master branch, last one 25 days ago
perpetual-ml
perpetual perpetual-ml
11
307
agpl-3.0
6
A self-generalizing gradient boosting machine which 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
109 commits to main branch, last one 21 hours ago
EpistasisLab
tpot2 EpistasisLab
29
209
lgpl-3.0
10
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
463 commits to main branch, last one 27 days ago
cheng-li
pyramid cheng-li
54
187
apache-2.0
31
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
21
178
apache-2.0
7
Boosted trees in Julia
gbrt julia poisson logistic quantile regression boosted-trees decision-tree gradientboosting machine-learning gradient-boosting
Created 2019-01-08
998 commits to main branch, last one 8 months ago
feedzai
fairgbm feedzai
5
103
other
13
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 6 months ago
benedekrozemberczki
tigerlily benedekrozemberczki
9
98
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 about a year ago
qiyiping
gbdt qiyiping
69
93
gpl-2.0
12
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
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 6 months ago
Blunde1
agtboost Blunde1
11
67
mit
4
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 2 years ago
soda-inria
hazardous soda-inria
14
57
mit
8
Competing Risks and Survival Analysis
data-science competing-risks machine-learning gradient-boosting survival-analysis
Created 2023-05-15
189 commits to main branch, last one 6 days ago
aertslab
arboreto aertslab
25
54
bsd-3-clause
6
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 8 months ago
G-U-N
ECCV22-FOSTER G-U-N
4
51
mit
3
The official implementation for ECCV22 paper: "FOSTER: Feature Boosting and Compression for Class-Incremental Learning" in PyTorch.
eccv2022 computer-vision state-of-the-art gradient-boosting continual-learning knowledge-distillation class-incremental-learning
Created 2022-07-18
21 commits to master branch, last one 2 years ago