lucidrains/rectified-flow-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

Official PyTorch Implementation of "Scalable Diffusion Models with Transformers"

Karras et al. (2022) diffusion models for PyTorch

Normalizing flows in PyTorch

A PyTorch library for implementing flow matching algorithms, featuring continuous and discrete flow matching implementations. It includes practical examples for both text and image modalities.

A minimal PyTorch re-implementation of the OpenAI GPT (Generative Pretrained Transformer) training

[ICML'26] Code and website for Self-Flow: Self-Supervised Flow Matching for Scalable Multi-Modal Synthesis

🧑‍🏫 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, ... 🧠