Stars
Use LLM to stream diagrams, instead of tokens, in real-time! (UIST 2023 Paper)
GPTeam: An open-source multi-agent simulation
GPT4All: Run Local LLMs on Any Device. Open-source and available for commercial use.
An API standard for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
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.
OpenAssistant is a chat-based assistant that understands tasks, can interact with third-party systems, and retrieve information dynamically to do so.
The ChatGPT Retrieval Plugin lets you easily find personal or work documents by asking questions in natural language.
SwiftLaTeX, a WYSIWYG Browser-based LaTeX Editor
A web-based collaborative LaTeX editor
TikZJax is TikZ running under WebAssembly in the browser
Open-source vector similarity search for Postgres
Code for the manim-generated scenes used in 3blue1brown videos
Convert code repos into an LLM prompt-friendly format. Mostly built by GPT-4.
antimatter15 / alpaca.cpp
Forked from ggerganov/llama.cppLocally run an Instruction-Tuned Chat-Style LLM
Now we have become very big, Different from the original idea. Collect premium software in various categories.
View the difference between two files within Obsidian.
A tiny library for coding with large language models.
Simple next-token-prediction for RLHF
Magick is a cutting-edge toolkit for a new kind of AI builder. Make Magick with us!
SwissGL is a minimalistic wrapper on top of WebGL2 JS API. It's designed to reduce the amount of boilerplate code required to manage GLSL shaders, textures and framebuffers when making procedural v…
Official Pytorch Implementation for “Plug-and-Play Diffusion Features for Text-Driven Image-to-Image Translation” (CVPR 2023)
🦜🔗 Build context-aware reasoning applications
50+ mini web projects using HTML, CSS & JS
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.