A game theoretic approach to explain the output of any machine learning model.
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Mar 3, 2026 - Jupyter Notebook
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gradient-boosting
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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 tasks.
microsoft python machine-learning data-mining r parallel distributed kaggle gbdt gbm lightgbm gbrt decision-trees gradient-boosting
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Mar 3, 2026 - C++
Machine learning, in numpy
machine-learning reinforcement-learning word2vec lstm neural-networks gaussian-mixture-models vae topic-modeling attention resnet bayesian-inference wavenet mfcc knn gaussian-processes hidden-markov-models gradient-boosting wgan-gp good-turing-smoothing
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Oct 29, 2023 - Python
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
python data-science machine-learning automation random-forest scikit-learn aiml model-selection hyperparameter-optimization feature-engineering automl gradient-boosting automated-machine-learning parameter-tuning alzheimer alzheimers nia adsp ag066833 u01ag066833
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Sep 11, 2025 - Jupyter Notebook
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.
python data-science machine-learning data-mining tutorial r big-data gpu cuda kaggle gbdt gbm gpu-computing decision-trees gradient-boosting coreml catboost categorical-features
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Mar 4, 2026 - C++
Fit interpretable models. Explain blackbox machine learning.
machine-learning ai scikit-learn artificial-intelligence transparency blackbox bias differential-privacy gradient-boosting interpretability interpretable-ai interpretable-ml explainable-ai explainable-ml xai interpretable-machine-learning iml explainability interpretml
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Mar 4, 2026 - C++
A collection of research papers on decision, classification and regression trees with implementations.
classifier machine-learning random-forest statistical-learning xgboost lightgbm gradient-boosting-machine ensemble-learning cart decision-tree tree-ensemble decision-tree-classifier gradient-boosting classification-trees decision-tree-learning decision-tree-model classification-model catboost regression-tree machine-learning-research
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Dec 28, 2025 - Python
Natural Gradient Boosting for Probabilistic Prediction
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Feb 25, 2026 - Jupyter Notebook
A curated list of data mining papers about fraud detection.
classifier data-science data-mining deep-learning random-forest credit-card-fraud classification fraud-management logistic-regression fraud-prevention credit-scoring churn link-prediction fraud-detection gradient-boosting fraud-checker graph-classification credit-card-validation credit-card-fraud-detection fraud-explorer
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Jan 5, 2026 - Python
[UNMAINTAINED] Automated machine learning for analytics & production
python data-science machine-learning deep-learning analytics tensorflow scikit-learn keras artificial-intelligence xgboost hyperparameter-optimization lightgbm machine-learning-library deeplearning production-ready feature-engineering machine-learning-pipelines automl gradient-boosting automated-machine-learning
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Feb 10, 2021 - Python
A curated list of gradient boosting research papers with implementations.
classifier machine-learning deep-learning random-forest h2o xgboost lightgbm gradient-boosting-machine adaboost decision-tree gradient-boosting-classifier classification-algorithm gradient-boosting boosting classification-trees xgboost-algorithm catboost gradient-boosted-trees classification-tree gradient-boosting-decision-trees
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Jan 5, 2026 - Python
A unified ensemble framework for PyTorch to improve the performance and robustness of your deep learning model.
deep-learning pytorch neural-networks ensemble ensemble-learning deeplearning gradient-boosting pytorch-tutorial bagging voting-classifier
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Jun 16, 2024 - Python
LAMA - automatic model creation framework
nlp data-science pipeline whitebox regression pytorch kaggle model-selection classification linear-model feature-engineering blackbox automl stacking gradient-boosting automated-machine-learning parameter-tuning lama multiclass ensembling
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Apr 14, 2022 - Python
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 Trees
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Jun 15, 2019 - Python
A collection of state-of-the-art algorithms for the training, serving and interpretation of Decision Forest models in Keras.
python machine-learning random-forest tensorflow keras ml decision-trees gradient-boosting interpretability decision-forest
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Feb 5, 2026 - Python
Building and training Speech Emotion Recognizer that predicts human emotions using Python, Sci-kit learn and Keras
machine-learning deep-learning sklearn keras recurrent-neural-networks feature-extraction neural-networks support-vector-machine mfcc librosa emotion-detection gradient-boosting emotion-recognition kneighborsclassifier random-forest-classifier mlp-classifier speech-emotion-recognition emotion-recognizer
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Nov 3, 2023 - Python
Perpetual is a high-performance gradient boosting machine. It delivers optimal accuracy in a single run without complex tuning through a simple budget parameter. It features out-of-the-box support for causal ML, continual learning, native calibration, and robust drift monitoring, along with Rust core and zero-copy bindings for Python and R
python rust data-science machine-learning kaggle gbdt gbm gradient-boosting gradient-boosted-trees gradient-boosting-decision-trees
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Mar 2, 2026 - Rust
A library to train, evaluate, interpret, and productionize decision forest models such as Random Forest and Gradient Boosted Decision Trees.
javascript python go cli machine-learning cpp random-forest tensorflow pypi distributed-computing ml cart decision-trees gradient-boosting interpretability decision-forest
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Feb 27, 2026 - C++
Tuning hyperparams fast with Hyperband
machine-learning hyperparameters hyperparameter-optimization hyperparameter-tuning gradient-boosting-classifier gradient-boosting
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Aug 15, 2018 - Python
Ollama for classical ML models. AOT compiler that turns XGBoost, LightGBM, scikit-learn, CatBoost & ONNX models into native C99 inference code. One command to load, one command to serve. 336x faster than Python inference.
machine-learning compiler sklearn c99 inference xgboost lightgbm decision-trees gradient-boosting model-serving catboost onnx mlops ollama
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Mar 4, 2026 - Python
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