ML Frameworks & Libraries

Ensure safe AI operations with policy-driven control, using NATS and Redis for robust management.

Create efficient AI agents using a lightweight, frameworkless approach. Supports ReAct and CodeAct paradigms for versatile applications.

AI-powered editor for NVIDIA GPU kernels with real-time profiling, GPU emulation, and performance analysis.

Explore Qwen3's powerful language models for deep reasoning and multilingual capabilities.

Transform AI development with structured code, not prompts. Build reliable, maintainable AI systems effortlessly.

Burn is a new comprehensive dynamic Deep Learning Framework built using Rust with extreme flexibility, compute efficiency, and portability.

Minimalist ML framework for Rust with GPU support and ease of use.

Simplify AI app creation with intuitive tools for seamless development, testing, and deployment.

Efficiently steer language models with structured output and reduced latency using Guidance.

Guarantee structured outputs directly from any LLM with simple integration and provider independence.

Create secure, scalable multi-agent systems with ease. Deploy in your cloud with built-in privacy and control.

Build robust AI solutions with evolving tech insights. Explore comprehensive guides and frameworks.

Cross-platform tensor library with no dependencies, supporting quantization and diverse hardware.

Explore state-of-the-art diffusion models for video, image, and audio generation with ease and flexibility.

TRL is a full stack library for training transformer language models with reinforcement learning, from SFT to RLHF to DPO.

Adapt large models efficiently with minimal resources. Reduce costs while maintaining performance using PEFT.

Access state-of-the-art models for embeddings, similarity, and ranking. Enhance NLP tasks with ease.

Transform text data with fast, efficient NLP tools. Supports 75+ languages, integrates with ML frameworks, and offers robust accuracy.

Optimize AI and ML compute needs with Ray's open-source framework. Scale efficiently from laptops to thousands of GPUs.

Transform Python scripts into interactive web apps effortlessly. No front-end skills needed.

Effortlessly build and share machine learning apps with intuitive web interfaces.

Build and deploy ML models with ease using TensorFlow's robust ecosystem.

Join the PyTorch community for cutting-edge deep learning tools and resources. Enhance your projects with robust libraries and cloud support.

Extract structured, validated data from LLMs with type-safe schemas, retries, and multi-language support.

Build modular AI systems for real-world applications using customizable components. Integrate freely and deploy at scale.

Revolutionize document workflows with AI agents for precise, scalable automation. Enhance productivity across industries.

Advance AI with open-source models for text, vision, and more. Simplify training and inference with state-of-the-art tools.

Create reliable AI agents with powerful tools for building, testing, and deploying. Enjoy seamless integration and robust performance.