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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.
Tensors and Dynamic neural networks in Python with strong GPU acceleration
🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), ga…
The simplest, fastest repository for training/finetuning medium-sized GPTs.
High-Resolution Image Synthesis with Latent Diffusion Models
ChatGLM-6B: An Open Bilingual Dialogue Language Model | 开源双语对话语言模型
DeepSpeed is a deep learning optimization library that makes distributed training and inference easy, efficient, and effective.
Official Code for DragGAN (SIGGRAPH 2023)
You like pytorch? You like micrograd? You love tinygrad! ❤️
Create Customized Software using Natural Language Idea (through LLM-powered Multi-Agent Collaboration)
Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.
PyScript is an open source platform for Python in the browser. Try PyScript: https://pyscript.com Examples: https://tinyurl.com/pyscript-examples Community: https://discord.gg/HxvBtukrg2
🐫 CAMEL: The first and the best multi-agent framework. Finding the Scaling Law of Agents. https://www.camel-ai.org
High-quality single file implementation of Deep Reinforcement Learning algorithms with research-friendly features (PPO, DQN, C51, DDPG, TD3, SAC, PPG)
pipreqs - Generate pip requirements.txt file based on imports of any project. Looking for maintainers to move this project forward.
Example models using DeepSpeed
This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI)
Nightly release of ControlNet 1.1
A tool used to obfuscate python scripts, bind obfuscated scripts to fixed machine or expire obfuscated scripts.
Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools, with 10x faster training through evolutionary hyperparameter optimization.