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Starred repositories
Automate browser-based workflows with LLMs and Computer Vision
LLM based autonomous agent that conducts local and web research on any topic and generates a comprehensive report with citations.
A collection of learning resources for curious software engineers
Enhanced ChatGPT Clone: Features Anthropic, AWS, OpenAI, Assistants API, Azure, Groq, o1, GPT-4o, Mistral, OpenRouter, Vertex AI, Gemini, Artifacts, AI model switching, message search, langchain, D…
Scripts for fine-tuning Meta Llama with composable FSDP & PEFT methods to cover single/multi-node GPUs. Supports default & custom datasets for applications such as summarization and Q&A. Supporting…
Explain complex systems using visuals and simple terms. Help you prepare for system design interviews.
A collective list of music to listen to while programming
A natural language interface for computers
A Javascript AI getting started stack for weekend projects, including image/text models, vector stores, auth, and deployment configs
SkyPilot: Run AI and batch jobs on any infra (Kubernetes or 12+ clouds). Get unified execution, cost savings, and high GPU availability via a simple interface.
Examples and guides for using the OpenAI API
MiniAGI is a simple general-purpose autonomous agent based on the OpenAI API.
Open-sourced codes for MiniGPT-4 and MiniGPT-v2 (https://minigpt-4.github.io, https://minigpt-v2.github.io/)
High-performance In-browser LLM Inference Engine
the AI-native open-source embedding database
AutoGPT is the vision of accessible AI for everyone, to use and to build on. Our mission is to provide the tools, so that you can focus on what matters.
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
An LLM playground you can run on your laptop
Real-ESRGAN aims at developing Practical Algorithms for General Image/Video Restoration.
🆙 Upscayl - #1 Free and Open Source AI Image Upscaler for Linux, MacOS and Windows.
[ICLR 2024] Fine-tuning LLaMA to follow Instructions within 1 Hour and 1.2M Parameters
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
Code and documentation to train Stanford's Alpaca models, and generate the data.
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with no need for a server!
A WebGPU-accelerated ONNX inference run-time written 100% in Rust, ready for native and the web