Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single machine, Hadoop, Spark, Dask, Flink and DataFlow
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Sep 1, 2026 - C++
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xgboost
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Python for《Deep Learning》，该书为《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
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Jun 23, 2020 - Python
Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes
kubernetes machine-learning tensorflow cncf pytorch artificial-intelligence xgboost k8s service-mesh hacktoberfest istio model-serving kubeflow mlops knative model-interpretability kserve vllm genai llm-inference
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Aug 31, 2026 - Go
Alink is the Machine Learning algorithm platform based on Flink, developed by the PAI team of Alibaba computing platform.
machine-learning data-mining statistics kafka graph-algorithms clustering word2vec regression xgboost classification recommender recommender-system apriori feature-engineering flink fm flink-ml graph-embedding flink-machine-learning
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Jun 7, 2024 - Java
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
data-science machine-learning neural-network random-forest scikit-learn xgboost hyperparameter-optimization lightgbm ensemble feature-engineering decision-tree hyper-parameters automl automated-machine-learning catboost mljar automl-api automl-python
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Jul 27, 2026 - Python
A python library for decision tree visualization and model interpretation.
visualization python data-science machine-learning random-forest scikit-learn xgboost decision-trees model-interpretation
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Jan 2, 2026 - Jupyter Notebook
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
javascript ruby python c java go rust php machine-learning haskell r lightning csharp scikit-learn statistical-learning xgboost lightgbm statsmodels dartlang
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Aug 3, 2024 - Python
A library for debugging/inspecting machine learning classifiers and explaining their predictions
python nlp data-science machine-learning scikit-learn xgboost lightgbm inspection explanation crfsuite
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Apr 8, 2026 - Jupyter Notebook
Mars is a tensor-based unified framework for large-scale data computation which scales numpy, pandas, scikit-learn and Python functions.
python machine-learning tensorflow numpy scikit-learn pandas pytorch xgboost lightgbm tensor dask ray dataframe statsmodels joblib
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Jan 2, 2024 - Python
Deep Learning Server and CLI for Torch and TensorRT
machine-learning caffe deep-learning time-series gpu rest-api pytorch xgboost image-classification image-search object-detection image-segmentation tsne neural-nets tensorrt ncnn tensorrt-conversion tensorrt-inference
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Aug 28, 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
Distributed AI Model Training and LLM Fine-Tuning on Kubernetes
python kubernetes machine-learning ai tensorflow gpu pytorch distributed xgboost fine-tuning kubeflow jax mlops huggingface llm
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Aug 31, 2026 - Go
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
visualization python machine-learning scikit-learn python3 xgboost tableau automl tpot automated-machine-learning auto-sklearn automl-algorithms
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Jun 10, 2024 - Python
A minimal benchmark for scalability, speed and accuracy of commonly used open source implementations (R packages, Python scikit-learn, H2O, xgboost, Spark MLlib etc.) of the top machine learning algorithms for binary classification (random forests, gradient boosted trees, deep neural networks etc.).
python data-science machine-learning r spark deep-learning random-forest h2o xgboost gradient-boosting-machine
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Sep 16, 2022 - R
Provide an input CSV and a target field to predict, generate a model + code to run it.
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Oct 22, 2019 - 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
MLBox is a powerful Automated Machine Learning python library.
encoding data-science machine-learning deep-learning pipeline optimization keras regression prediction distributed kaggle xgboost classification lightgbm preprocessing drift automl stacking automated-machine-learning auto-ml
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Aug 6, 2023 - Python
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
python data-science machine-learning deep-learning time-series scikit-learn xgboost forecasting lightgbm arima sarimax catboost time-series-forecasting prediction-intervals probabilistic-forecasting exogenous-predictors foundation-models multi-series-forecasting multi-step-forecasting backtesting-forecasters
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Aug 31, 2026 - Python
Scalable machine 🤖 learning for time series forecasting.
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Aug 31, 2026 - Python
Scalable Python DS & ML, in an API compatible & lightning fast way.
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Feb 14, 2026 - Python
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