Fast and Accurate ML in 3 Lines of Code

An open source python library for automated feature engineering

Open-source, low-code AutoML platform for Python. PyCaret 4.0: sklearn-native engine + React control plane.

Ray is an AI compute engine. Ray consists of a core distributed runtime and a set of AI Libraries for accelerating ML workloads.

Pretrain, finetune ANY AI model of ANY size on 1 or 10,000+ GPUs with zero code changes.

Deep Learning for humans

💫 Industrial-strength Natural Language Processing (NLP) in Python

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.

The AI developer platform. Use Weights & Biases to train and fine-tune models, and manage models from experimentation to production.

Low-code framework for building custom LLMs, neural networks, and other AI models

A Python library for anomaly detection across tabular, time series, graph, text, and image data. 60+ detectors, benchmark-backed ADEngine orchestration, and an agentic workflow for AI agents.

A python library for user-friendly forecasting and anomaly detection on time series.

DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

A unified framework for machine learning with time series

🧙 Build, run, and manage data pipelines for integrating and transforming data.