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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
Simple and Distributed Machine Learning
Created
2017-06-05
1,641 commits to master branch, last one 22 days ago
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
Created
2018-11-05
1,218 commits to master branch, last one 23 days ago
Transform ML models into a native code (Java, C, Python, Go, JavaScript, Visual Basic, C#, R, PowerShell, PHP, Dart, Haskell, Ruby, F#, Rust) with zero dependencies
Created
2019-01-13
376 commits to master branch, last one 2 years ago
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Created
2016-09-15
1,198 commits to master branch, last one 4 years ago
Microsoft Distributed Machine Learning Toolkit
This repository has been archived
(exclude archived)
Created
2015-11-08
47 commits to master branch, last one 7 years ago
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
Created
2018-12-05
1,297 commits to master branch, last one about a year ago
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 7 months ago
[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
MLBox is a powerful Automated Machine Learning python library.
Created
2017-06-01
1,121 commits to master branch, last one 4 years ago
Automated Deep Learning without ANY human intervention. 1'st Solution for AutoDL challenge@NeurIPS.
Created
2020-04-02
79 commits to master branch, last one 3 years ago
Time series forecasting with machine learning models
arima
python
sarimax
xgboost
lightgbm
forecasting
time-series
data-science
scikit-learn
machine-learning
direct-forecasting
exogenous-predictors
lstm-neural-networks
quantile-forecasting
multi-step-forecasting
backtesting-forecasters
multi-series-forecasting
probabilistic-forecasting
autoregressive-forecasting
multiple-time-series-forecasting
Created
2021-02-10
3,920 commits to master branch, last one 5 days ago
Scalable Python DS & ML, in an API compatible & lightning fast way.
Created
2022-07-27
455 commits to main branch, last one a day ago
Precompiled packages for AWS Lambda
Created
2016-10-19
78 commits to master branch, last one 12 months ago
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 7 months ago
Scalable machine 🤖 learning for time series forecasting.
Created
2021-04-26
309 commits to main branch, last one a day ago
An inference server for your machine learning models, including support for multiple frameworks, multi-model serving and more
Created
2020-06-16
1,708 commits to master branch, last one 16 days ago
Easy hyperparameter optimization and automatic result saving across machine learning algorithms and libraries
Created
2018-06-01
1,096 commits to master branch, last one 3 years ago
AI比赛相关信息汇总
Created
2018-06-08
52 commits to master branch, last one about a year ago
📘 The experiment tracker for foundation model training
Created
2019-02-11
2,103 commits to master branch, last one 2 days ago
REST web service for the true real-time scoring (<1 ms) of Scikit-Learn, R and Apache Spark models
Created
2013-04-02
605 commits to master branch, last one 2 months ago
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
Created
2021-05-16
30 commits to main branch, last one 8 months ago
Fast SHAP value computation for interpreting tree-based models
Created
2022-01-24
40 commits to master branch, last one about a year ago
pure Go implementation of prediction part for GBRT (Gradient Boosting Regression Trees) models from popular frameworks
Created
2018-09-15
149 commits to master branch, last one about a year ago
Code for IDS-ML: intrusion detection system development using machine learning algorithms (Decision tree, random forest, extra trees, XGBoost, stacking, k-means, Bayesian optimization..)
Created
2021-05-25
50 commits to main branch, last one about a year ago
Visualize decision trees in Python
Created
2024-07-24
112 commits to main branch, last one 8 days ago
本人多次机器学习与大数据竞赛Top5的经验总结,满满的干货,拿好不谢
Created
2019-10-11
73 commits to master branch, last one 3 years ago
Open solution to the Mapping Challenge :earth_americas:
Created
2018-04-10
263 commits to master branch, last one 3 years ago
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
A full pipeline AutoML tool for tabular data
Created
2020-10-22
763 commits to main branch, last one 4 months ago