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Flexible and powerful framework for managing multiple AI agents and handling complex conversations

Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

22 prompt engineering techniques with hands-on Jupyter Notebook tutorials, from fundamental concepts to advanced strategies for leveraging LLMs.

An open source python library for automated feature engineering

Efficiently computes derivatives of NumPy code.

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.

The Open Source Feature Store for AI/ML

Dynamic, resilient AI orchestration. Coordinate data, models, and compute as you build AI workflows.

A Python Package to Tackle the Curse of Imbalanced Datasets in Machine Learning

The Enterprise-Grade Production-Ready Multi-Agent Orchestration Framework. Website: https://swarms.ai

Fit interpretable models. Explain blackbox machine learning.

Postgres with GPUs for ML/AI apps.

A Python scikit for building and analyzing recommender systems

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

An adversarial example library for constructing attacks, building defenses, and benchmarking both

TensorFlow documentation

A Neural Net Training Interface on TensorFlow, with focus on speed + flexibility

Aim 💫 — An easy-to-use & supercharged open-source experiment tracker.

A scikit-learn compatible neural network library that wraps PyTorch

Adversarial Robustness Toolbox (ART) - Python Library for Machine Learning Security - Evasion, Poisoning, Extraction, Inference - Red and Blue Teams

A system for quickly generating training data with weak supervision

Uplift modeling and causal inference with machine learning algorithms

A model-driven approach to building AI agents in just a few lines of code.

A GPU-accelerated library containing highly optimized building blocks and an execution engine for data processing to accelerate deep learning training and inference applications.

Democratizing Reinforcement Learning for LLMs

Standardized Distributed Generative and Predictive AI Inference Platform for Scalable, Multi-Framework Deployment on Kubernetes

mlpack: a fast, header-only C++ machine learning library

High-performance data engine for AI and multimodal workloads. Process images, audio, video, and structured data at any scale

🍊 :bar_chart: :bulb: Orange: Interactive data analysis

⚡ Pure-Rust WebGPU inference engine — OpenAI-API compatible, GGUF native, runs on any GPU. No Python. No llama.cpp. Single binary.