AndroidWorld is an environment and benchmark for autonomous agents

Build ChatGPT over your data, all with natural language

nanoGPT style version of Llama 3.1

Run PyTorch LLMs locally on servers, desktop and mobile

Neural Pipeline Search (NePS): Helps deep learning experts find the best neural pipeline.

What's in your data? Extract schema, statistics and entities from datasets

Fast, Accurate, Lightweight Python library to make State of the Art Embedding

Scans your Letterboxd watchlist and shows you where you can watch those movies using JustWatch

aider is AI pair programming in your terminal

Free MLOps course from DataTalks.Club

Python scraper based on AI

ZSH plugin to enable fzf searches of a lot more stuff - docker, tmux, homebrew and more.

🔥 Turn entire websites into LLM-ready markdown or structured data. Scrape, crawl and extract with a single API.

Simple and efficient pytorch-native transformer text generation in <1000 LOC of python.

Automatically commit and push changed files back to GitHub with this GitHub Action for the 80% use case.

UI for your AI. Open Source Tailwind components tailored for your GPT, generative AI, and LLM projects.

AIDE: the Machine Learning CodeGen Agent

Source for book "Feature Engineering A-Z"

A collection of inspiring lists, manuals, cheatsheets, blogs, hacks, one-liners, cli/web tools and more.

An opinionated list of awesome Python frameworks, libraries, software and resources.

Locally hosted tool that connects documents to LLMs for summarization and querying, with a simple GUI.

One Minute data for Backtesting for NIFTY BankNIFTY

Open-source tool to visualise your RAG 🔮

Official implementation for the paper: "Code Generation with AlphaCodium: From Prompt Engineering to Flow Engineering""

Turn repositories into Jupyter-enabled Docker images

Private chat with local GPT with document, images, video, etc. 100% private, Apache 2.0. Supports oLLaMa, Mixtral, llama.cpp, and more. Demo: https://gpt.h2o.ai/ https://gpt-docs.h2o.ai/

💭 Retrieval augmented generation (RAG) and language model powered search applications

Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.