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The Top 23 Gradient Boosting Open Source Projects

Categories > Machine Learning > Gradient Boosting
Shap ⭐ 12,567
A game theoretic approach to explain the output of any machine learning model.
Lightgbm ⭐ 12,496
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 tasks.
Numpy Ml ⭐ 9,881
Machine learning, in numpy
Tpot ⭐ 7,990
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
Catboost ⭐ 5,850
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 computation on CPU and GPU.
Interpret ⭐ 3,729
Fit interpretable models. Explain blackbox machine learning.
Awesome Decision Tree Papers ⭐ 1,751
A collection of research papers on decision, classification and regression trees with implementations.
Auto_ml ⭐ 1,537
[UNMAINTAINED] Automated machine learning for analytics & production
Ngboost ⭐ 988
Natural Gradient Boosting for Probabilistic Prediction
Awesome Fraud Detection Papers ⭐ 866
A curated list of data mining papers about fraud detection.
Awesome Gradient Boosting Papers ⭐ 717
A curated list of gradient boosting research papers with implementations.
Hyperband ⭐ 556
Tuning hyperparams fast with Hyperband
Gbdt_simple_tutorial ⭐ 522
python实现GBDT的回归、二分类以及多分类，将算法流程详情进行展示解读并可视化，庖丁解牛地理解GBDT。Gradient Boosting Decision Trees regression, dichotomy and multi-classification are realized based on python, and the details of algorithm flow are displayed, interpreted and visualized to help readers better understand Gradient Boosting Decision
Drishti ⭐ 335
Real time eye tracking for embedded and mobile devices.
Lightautoml ⭐ 328
LAMA - automatic model creation framework
Chefboost ⭐ 190
A Lightweight Decision Tree Framework supporting regular algorithms: ID3, C4,5, CART, CHAID and Regression Trees; some advanced techniques: Gradient Boosting (GBDT, GBRT, GBM), Random Forest and Adaboost w/categorical features support for Python
Ensemble Pytorch ⭐ 190
A unified ensemble framework for PyTorch to easily improve the performance and robustness of your deep learning model.
Infiniteboost ⭐ 182
InfiniteBoost: building infinite ensembles with gradient descent
Emotion Recognition Using Speech ⭐ 176
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
Pyramid ⭐ 172
Open source Machine Learning library written in Java
Machine Learning Workflow With Python ⭐ 157
This is a comprehensive ML techniques with python: Define the Problem- Specify Inputs & Outputs- Data Collection- Exploratory data analysis -Data Preprocessing- Model Design- Training- Evaluation
Gbdt ⭐ 91
Arboretum ⭐ 64
Gradient Boosting powered by GPU(NVIDIA CUDA)
1-23 of 23 projects
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Cloud Computing 📦 80
Code Quality 📦 28
Collaboration 📦 32
Command Line Interface 📦 49
Community 📦 83
Companies 📦 60
Compilers 📦 63
Computer Science 📦 80
Configuration Management 📦 42
Content Management 📦 175
Control Flow 📦 213
Data Formats 📦 78
Data Processing 📦 276
Data Storage 📦 135
Economics 📦 64
Frameworks 📦 215
Games 📦 129
Graphics 📦 110
Hardware 📦 152
Integrated Development Environments 📦 49
Learning Resources 📦 166
Legal 📦 29
Libraries 📦 129
Lists Of Projects 📦 22
Machine Learning 📦 347
Mapping 📦 64
Marketing 📦 15
Mathematics 📦 55
Media 📦 239
Messaging 📦 98
Networking 📦 315
Operating Systems 📦 89
Operations 📦 121
Package Managers 📦 55
Programming Languages 📦 245
Runtime Environments 📦 100
Science 📦 42
Security 📦 396
Social Media 📦 27
Software Architecture 📦 72
Software Development 📦 72
Software Performance 📦 58
Software Quality 📦 133
Text Editors 📦 49
Text Processing 📦 136
User Interface 📦 330
User Interface Components 📦 514
Version Control 📦 30
Virtualization 📦 71
Web Browsers 📦 42
Web Servers 📦 26
Web User Interface 📦 210