There are 930 repositories under artificial-intelligence topic.
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)
12 Weeks, 24 Lessons, AI for All!
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
Roadmap to becoming an Artificial Intelligence Expert in 2022
A complete daily plan for studying to become a machine learning engineer.
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.
Integrate cutting-edge LLM technology quickly and easily into your apps
Implementation of Vision Transformer, a simple way to achieve SOTA in vision classification with only a single transformer encoder, in Pytorch
Best Practices on Recommendation Systems
500 AI Machine learning Deep learning Computer vision NLP Projects with code
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
<⚡️> SuperAGI - A dev-first open source autonomous AI agent framework. Enabling developers to build, manage & run useful autonomous agents quickly and reliably.
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 learning using automatic differentiation.
Python Implementation of Reinforcement Learning: An Introduction
Code for Machine Learning for Algorithmic Trading, 2nd edition.
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
A reference containing Styles and Keywords that you can use with MidJourney AI. There are also pages showing resolution comparison, image weights, and much more!
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
Open-source simulator for autonomous driving research.
A collection of resources and papers on Diffusion Models
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
TensorFlow-based neural network library