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🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
RAGFlow is a leading open-source Retrieval-Augmented Generation (RAG) engine that fuses cutting-edge RAG with Agent capabilities to create a superior context layer for LLMs
Examples and guides for using the OpenAI API
Drop in a screenshot and convert it to clean code (HTML/Tailwind/React/Vue)
Interact with your documents using the power of GPT, 100% privately, no data leaks
CLI platform to experiment with codegen. Precursor to: https://lovable.dev
LlamaIndex is the leading document agent and OCR platform
Milvus is a high-performance, cloud-native vector database built for scalable vector ANN search
Build, run, manage agentic software at scale.
Google Research
A toolkit for developing and comparing reinforcement learning algorithms.
Detectron2 is a platform for object detection, segmentation and other visual recognition tasks.
DSPy: The framework for programming—not prompting—language models
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Visualizer for neural network, deep learning and machine learning models
Build resilient language agents as graphs.
Crawl a site to generate knowledge files to create your own custom GPT from a URL
A guidance language for controlling large language models.
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
Original reference implementation of "3D Gaussian Splatting for Real-Time Radiance Field Rendering"
Neural Networks: Zero to Hero
Open-source vector similarity search for Postgres
A massively parallel, high-level programming language
Test your prompts, agents, and RAGs. Red teaming/pentesting/vulnerability scanning for AI. Compare performance of GPT, Claude, Gemini, Llama, and more. Simple declarative configs with command line …
The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use th…
Code samples for my book "Neural Networks and Deep Learning"