List of Molecular and Material design using Generative AI and Deep Learning

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

Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)

Notebooks for the Practicals at the Deep Learning Indaba 2022.

Materials of the Nordic Probabilistic AI School 2019.

Materials of the Nordic Probabilistic AI School 2021.

Awesome De novo drugs design papers

A deep generative model to predict aircraft actual trajectories using high dimensional weather data

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

📖 A curated list of resources dedicated to avatar.

A PyTorch Implementation of Convolutional Conditional Neural Process.

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.

DeepGTT: Learning Travel Time Distributions with Deep Generative Model

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

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

The official implementation of the manuscript Learning the complexity of urban mobility with deep generative collaboration 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 WIPA: Super-resolution of very low-resolution face images with a Wavelet Integrated, Identity Preserving, Adversarial Network.

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