Stars
Image-to-Image Translation 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.
Code and hyperparameters for the paper "Generative Adversarial Networks"
A simple interface for editing natural photos with generative neural networks.
Implementation of recent Deep Learning papers
TensorFlow implementation of "Image-to-Image Translation Using Conditional Adversarial Networks".
transfer the makeup style of a reference face image to a non-makeup face
A minimal implementation of diffusion models for text generation
Official PyTorch implementation for ICLR2025 paper "Scaling up Masked Diffusion Models on Text"
Source code and pretrained model for running pix2pix in realtime on a webcam feed.
Agent benchmark for medical diagnosis
Official PyTorch implementation of BeautyGAN (ACM MM 2018)
Implementation of Medfusion - A latent diffusion model for medical image synthesis.
[MICCAI 2023] DiffMIC: Dual-Guidance Diffusion Network for Medical Image Classification
Code accompanying the paper "Generalized Interpolating Discrete Diffusion"
Replicating O1 inference-time scaling laws
Diffusion-TTA improves pre-trained discriminative models such as image classifiers or segmentors using pre-trained generative models.
Simple Guidance Mechanisms for Discrete Diffusion Models
Official code implementation for the work Preference Alignment with Flow Matching (NeurIPS 2024)
Repository for "TESS-2: A Large-Scale, Generalist Diffusion Language Model"
[ICML 2025] Unlearning in Diffusion Models using Sparse Autoencoders
Derivative-Free Guidance in Diffusion Models with Soft Value-Based Decoding. For controlled generation in DNA, RNA, proteins, molecules (+ images)
[IEEE TMI] DiffMIC-v2: Medical Image Classification via Improved Diffusion Network
ControlPolypNet: Towards Controlled Colon Polyp Synthesis for Improved Polyp Segmentation