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.

Drag & drop UI to build your customized LLM flow

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

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

12 Weeks, 24 Lessons, AI for All!

Python Implementation of Reinforcement Learning: An Introduction

500 AI Machine learning Deep learning Computer vision NLP Projects with code

🦍 The Cloud-Native API Gateway and AI Gateway.

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

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

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

Code for Machine Learning for Algorithmic Trading, 2nd edition.

Suite of tools for deploying and training deep learning models using the JVM. Highlights include model import for keras, tensorflow, and onnx/pytorch, a modular and tiny c++ library for running math code and a java based math library on top of the core c++ library. Also includes samediff: a pytorch/tensorflow like library for running deep learni…

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

Open-source simulator for autonomous driving research.

Official Code for DragGAN (SIGGRAPH 2023)

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

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.

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