List of Molecular and Material design using Generative AI and Deep Learning
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Updated
Sep 14, 2024
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
Code, documentation, and tutorials for the DGD model trained on bulk RNA-Seq data.
Generative Autoregressive, Normalized Flows, VAEs, Score-based models (GANVAS)
The official implementation of the manuscript Learning the complexity of urban mobility with deep generative collaboration network.
Pytorch implementation of WIPA: Super-resolution of very low-resolution face images with a Wavelet Integrated, Identity Preserving, Adversarial Network.
A basic PyTorch implementation of the Collaborative Sampling in Generative Adversarial Networks
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