Stars
A project page template for academic papers. Demo at https://eliahuhorwitz.github.io/Academic-project-page-template/
Official code for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)
🤗 Diffusers: State-of-the-art diffusion models for image, video, and audio generation in PyTorch.
Official code for Generative Fractional Diffusion Models
An implementation of NVIDIA's EDM2 network in jax.
Official Implementation of Rectified Flow (ICLR2023 Spotlight)
A summary of related works about flow matching, stochastic interpolants
Pytorch implementation for MeanFlow
Pytorch Implementation (unofficial) of the paper "Mean Flows for One-step Generative Modeling" by Geng et al.
Multi-domain Distribution Learning for De Novo Drug Design
Helpful tools and examples for working with flex-attention
PyTorch implementation for "Training and Inference on Any-Order Autoregressive Models the Right Way", NeurIPS 2022 Oral, TPM 2023 Best Paper Honorable Mention
[ICLR2025] DiffuGPT and DiffuLLaMA: Scaling Diffusion Language Models via Adaptation from Autoregressive Models
PyTorch implementation for "Long Horizon Temperature Scaling", ICML 2023
A curated list for awesome discrete diffusion models resources.
[ICML 2024 Best Paper] Discrete Diffusion Modeling by Estimating the Ratios of the Data Distribution (https://arxiv.org/abs/2310.16834)
This repository contains a collection of resources and papers on GNN Models on Crystal Solid State Materials
A repository for implementing graph network models based on atomic structures.
A vectorised implementation of the Debye Scattering Equation on CPU and GPU
Implementation of Classifier Free Guidance in Pytorch, with emphasis on text conditioning, and flexibility to include multiple text embedding models
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
This package provides a pythorch implementation of "FPGAN-Control: A Controllable Fingerprint Generator for Training with Synthetic Data", WACV 2024.