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.
☆9,161Oct 22, 2026Updated this week
Alternatives and similar repositories for catboost
Users that are interested in catboost are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- A fast, distributed, high performance gradient boosting (GBT, GBDT, GBRT, GBM or MART) framework based on decision tree algorithms, used …☆18,903Updated this week
- Scalable, Portable and Distributed Gradient Boosting (GBDT, GBRT or GBM) Library, for Python, R, Java, Scala, C and more. Runs on single…☆28,901Updated this week
- CatBoost tutorials repository☆1,112Sep 7, 2026Updated last month
- A game theoretic approach to explain the output of any machine learning model.☆25,825Updated this week
- An open source python library for automated feature engineering☆7,688Sep 11, 2026Updated last month
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- Distributed Asynchronous Hyperparameter Optimization in Python☆7,597Updated this week
- A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning☆7,131Jun 29, 2026Updated 3 months ago
- A library for debugging/inspecting machine learning classifiers and explaining their predictions☆2,854Apr 8, 2026Updated 6 months ago
- A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.☆10,056Sep 11, 2025Updated last year
- A library of extension and helper modules for Python's data analysis and machine learning libraries.☆5,186Oct 9, 2026Updated last week
- Tool for producing high quality forecasts for time series data that has multiple seasonality with linear or non-linear growth.☆20,448Updated this week
- Automated Machine Learning with scikit-learn☆8,148Sep 15, 2026Updated last month
- A hyperparameter optimization framework☆14,955Updated this week
- Automatic extraction of relevant features from time series:☆9,477Jul 6, 2026Updated 3 months ago
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Vowpal Wabbit is a machine learning system which pushes the frontier of machine learning with techniques such as online, hashing, allredu…☆8,730Oct 15, 2026Updated last week
- Lime: Explaining the predictions of any machine learning classifier☆12,168Jul 25, 2024Updated 2 years ago
- A library of sklearn compatible categorical variable encoders☆2,510Oct 7, 2026Updated 2 weeks ago
- StackNet is a computational, scalable and analytical Meta modelling framework☆1,324Sep 19, 2018Updated 8 years ago
- Sequential model-based optimization with a `scipy.optimize` interface☆2,830Feb 23, 2024Updated 2 years ago
- The open source AI engineering platform for agents, LLMs, and ML models. MLflow enables teams of all sizes to debug, evaluate, monitor, a…☆28,494Updated this week
- Library for fast text representation and classification.☆26,523Mar 22, 2024Updated 2 years ago
- Parallel computing with task scheduling☆13,935Sep 29, 2026Updated 3 weeks ago
- The fastai deep learning library☆28,229Sep 21, 2026Updated last month
- GPU virtual machines on DigitalOcean Gradient AI • AdGet to production fast with high-performance AMD and NVIDIA GPUs you can spin up in seconds. The definition of operational simplicity.
- Approximate Nearest Neighbors in C++/Python optimized for memory usage and loading/saving to disk☆14,322Oct 29, 2025Updated 11 months ago
- Deep Learning for humans☆64,376Updated this week
- H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random F…☆7,513Updated this week
- High performance, easy-to-use, and scalable machine learning (ML) package, including linear model (LR), factorization machines (FM), and …☆3,092Aug 28, 2023Updated 3 years ago
- Fit interpretable models. Explain blackbox machine learning.☆6,966Updated this week
- Topic Modelling for Humans☆16,504Nov 1, 2025Updated 11 months ago
- Visual analysis and diagnostic tools to facilitate machine learning model selection.☆4,407Feb 19, 2025Updated last year
- Modin: Scale your Pandas workflows by changing a single line of code☆10,391Feb 10, 2026Updated 8 months ago
- scikit-learn: machine learning in Python☆67,859Updated this week
- Deploy to Railway using AI coding agents - Free Credits Offer • AdUse Claude Code, Codex, OpenCode, and more. Autonomous software development now has the infrastructure to match with Railway.
- A library for efficient similarity search and clustering of dense vectors.☆41,189Updated this week
- Visualizations for machine learning datasets☆7,334May 24, 2023Updated 3 years ago
- Statsmodels: statistical modeling and econometrics in Python☆11,699Updated this week
- Bayesian Modeling and Probabilistic Programming in Python☆9,819Updated this week
- 💫 Industrial-strength Natural Language Processing (NLP) in Python☆33,983Oct 12, 2026Updated last week
- Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.☆44,105Updated this week
- Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.☆14,676Sep 17, 2026Updated last month