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.

Official Code for DragGAN (SIGGRAPH 2023)

Facebook AI Research Sequence-to-Sequence Toolkit written in Python.

💫 Industrial-strength Natural Language Processing (NLP) in Python

Roadmap to becoming an Artificial Intelligence Expert in 2022

A complete daily plan for studying to become a machine learning engineer.

12 Weeks, 24 Lessons, AI for All!

Pretrain, finetune and deploy AI models on multiple GPUs, TPUs with zero code changes.

Investment Research for Everyone, Everywhere.

InvokeAI is a leading creative engine for Stable Diffusion models, empowering professionals, artists, and enthusiasts to generate and create visual media using the latest AI-driven technologies. The solution offers an industry leading WebUI, supports terminal use through a CLI, and serves as the foundation for multiple commercial products.

Build AI 🤖 using SQL

Drag & drop UI to build your customized LLM flow

ncnn is a high-performance neural network inference framework optimized for the mobile platform

An open source cybersecurity protocol for syncing decentralized graph data.

Best Practices on Recommendation Systems

Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch

Integrate cutting-edge LLM technology quickly and easily into your apps

Open source simulator for autonomous vehicles built on Unreal Engine / Unity, from Microsoft AI & Research

This repository is primarily maintained by Omar Santos (@santosomar) and includes thousands of resources related to ethical hacking, bug bounties, digital forensics and incident response (DFIR), artificial intelligence security, vulnerability research, exploit development, reverse engineering, and more.

Essential Cheat Sheets for deep learning and machine learning researchers https://medium.com/@kailashahirwar/essential-cheat-sheets-for-machine-learning-and-deep-learning-researchers-efb6a8ebd2e5