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

📖 A curated list of resources dedicated to avatar.

Denoising Diffusion Probabilistic Models

Official PyTorch implementation of the paper "MultiSpectral diffusion: joint generation of wavelet coefficients for image synthesis and upsampling"

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

Deep Generative Models Course Page @ Sharif University of Technology

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

Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)

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

This GitHub repository showcases my bachelor thesis which is focused on exploring the application and comparison of various deep generative models for synthetic image augmentation in manufacturing domain.

Notebooks for the Practicals at the Deep Learning Indaba 2022.

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.

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

Awesome De novo drugs design papers

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.

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

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

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