Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)

SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches, CVPR2022

A pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"

DAS: A deep adaptive sampling method for solving high-dimensional partial differential equations

Official PyTorch implementation of 🏁 MFCVAE 🏁: "Multi-Facet Clustering Variatonal Autoencoders (MFCVAE)" (NeurIPS 2021). A class of variational autoencoders to find multiple disentangled clusterings of data.

Pytorch implementation of WIPA: Super-resolution of very low-resolution face images with a Wavelet Integrated, Identity Preserving, Adversarial Network.

Code, documentation, and tutorials for the DGD model trained on bulk RNA-Seq data.

Generative Autoregressive, Normalized Flows, VAEs, Score-based models (GANVAS)

PyTorch Implementation of V-objective Diffusion Probabilistic Models with Classifier-free Guidance

Facial Unpaired Image-to-Image Translation with (Self-Attention) Conditional Cycle-Consistent Generative Adversarial Networks

A basic PyTorch implementation of the Collaborative Sampling in Generative Adversarial Networks

Mini-project for my CST Part III Representation Learning on Graphs and Networks (L45) module

The official implementation of the manuscript Learning the complexity of urban mobility with deep generative collaboration network.

This is the official implementation of RL-Chord (TNNLS).

Unofficial PyTorch implementation of IODINE https://arxiv.org/abs/1903.00450

Exercises from IT3030 V20

Denoising Diffusion Probabilistic Models

PyTorch implementation of image inpainting technique as proposed in paper "Sementic Image Inpainting with Deep Generative Modes by R.A. Yeh et al."

Deep Generative Models with clean and well-annotated PyTorch re-implementation

Comparison of standard autoencoder and variational autoencoder (VAE) as deep generative models