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

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Python Implementation of Reinforcement Learning: An Introduction

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

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

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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.

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🐚 OpenDevin: Code Less, Make More