Python library that adds generative AI capabilities to Pandas. Chat with your DataFrames using natural language queries to analyze and visualize data.
Open-source data labeling tool for NLP, CV, audio, and multi-modal projects. Configurable annotation interface with ML-assisted labeling and team features.
Open-source platform for the full ML lifecycle including experiment tracking, model packaging, model registry, and deployment.
Hugging Face's production-ready toolkit for deploying LLMs. Optimized for high throughput with tensor parallelism, quantization, and Flash Attention.
TypeScript toolkit for building AI-powered applications with React, Next.js, Vue, Svelte, and Node.js. Unified API for multiple AI providers with streaming.
Visual framework for building multi-agent and RAG applications with a drag-and-drop interface. Connects LLMs, vector stores, and tools into workflows.
Run large language models locally on consumer hardware. Open-source ecosystem of models trained for assistant-style interactions with no internet needed.
AI-powered junior developer that turns GitHub issues into pull requests. Handles bug fixes, feature requests, and refactoring tasks automatically.
High-performance C/C++ port of OpenAI's Whisper speech recognition model. Runs locally with no internet required on CPU, GPU, or Apple Silicon.
State-of-the-art open source text-to-image model by Black Forest Labs. Available in pro, dev, and schnell variants for different use cases.
Free, open source alternative to OpenAI API. Run LLMs, generate images, audio, and more locally or on-prem with no GPU required.
LLM inference in pure C/C++. Run LLaMA and other models on consumer hardware with CPU and GPU support. The engine behind many local AI apps.
