🧑🏫 60+ Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
The 500 AI Agents Projects is a curated collection of AI agent use cases across various industries. It showcases practical applications and provides links to open-source projects for implementation, illustrating how AI agents are transforming sectors such as healthcare, finance, education, retail, and more.
A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
PyTorch version of Stable Baselines, reliable implementations of reinforcement learning algorithms.
Code for loralib, an implementation of "LoRA: Low-Rank Adaptation of Large Language Models"
- gpt-2
- adaptation
- language-model
- gpt-3
Implementation of DALL-E 2, OpenAI's updated text-to-image synthesis neural network, in Pytorch
An open source implementation of OpenAI's ChatGPT Code interpreter
My tensorflow implementation of "A neural conversational model", a Deep learning based chatbot