List of molecular design using Generative AI and Deep Learning
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Updated
Jun 17, 2024
List of molecular design using Generative AI and Deep Learning
Notebooks for the Practicals at the Deep Learning Indaba 2022.
Materials of the Nordic Probabilistic AI School 2019.
SketchEdit: Mask-Free Local Image Manipulation with Partial Sketches, CVPR2022
A deep generative model to predict aircraft actual trajectories using high dimensional weather data
Unofficial PyTorch Implementation of Denoising Diffusion Probabilistic Models (DDPM)
DeepGTT: Learning Travel Time Distributions with Deep Generative Model
Materials of the Nordic Probabilistic AI School 2021.
A pytorch implementation of the paper "Prediction, Consistency, Curvature: Representation Learning for Locally-Linear Control"
Awesome De novo drugs design papers
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 tutorial for the DGD model trained on bulk RNA-Seq data.
📖 A curated list of resources dedicated to avatar.
Generative Autoregressive, Normalized Flows, VAEs, Score-based models (GANVAS)
A PyTorch Implementation of Convolutional Conditional Neural Process.
A basic PyTorch implementation of the Collaborative Sampling in Generative Adversarial Networks
Facial Unpaired Image-to-Image Translation with (Self-Attention) Conditional Cycle-Consistent Generative Adversarial Networks
PyTorch Implementation of V-objective Diffusion Probabilistic Models with Classifier-free Guidance
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