rekalantar / VariationalAutoencoders_PytorchLinks
Variational Autoencoder (VAE) PyTorch Tutorial from Scratch
☆10Updated 2 years ago
Alternatives and similar repositories for VariationalAutoencoders_Pytorch
Users that are interested in VariationalAutoencoders_Pytorch are comparing it to the libraries listed below
Sorting:
- Structure-based Drug Design; Reinforcement Learning and Genetic Algorithm☆76Updated 2 years ago
- ☆101Updated 3 years ago
- This is a curated list of research papers, resources and tools related to using Graph Neural Networks (GNNs) for drug discovery.☆59Updated last year
- A Graph Neural Network project on HIV data☆288Updated last year
- ☆20Updated 3 years ago
- GFlowNet library specialized for graph & molecular data☆280Updated 7 months ago
- UROP Project @ Coley Group☆27Updated 2 years ago
- ☆61Updated 3 years ago
- Code for "MGCVAE: Multi-Objective Inverse Design via Molecular Graph Conditional Variational Autoencoder" (https://doi.org/10.1021/acs.jc…☆36Updated last year
- A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".☆80Updated 2 years ago
- graph neural network layer for Deep Graph Library with pytorch backend☆30Updated 4 years ago
- ALL Molecular ML papers from NeurIPS'24.☆64Updated last year
- Latent Diffusion Model for DNA Sequence Generation☆32Updated last year
- Deep Learning Projects using Graph Neural Networks (GNNs).☆37Updated 4 years ago
- Code for "IDL-PPBopt: A Strategy for Prediction and Optimization of Human Plasma Protein Binding of Compounds via an Interpretable Deep L…☆11Updated 2 years ago
- RL-GraphINVENT is a platform for graph-based targeted molecular generation using graph neural networks and reinforcement learning. RL-Gra…☆78Updated 2 years ago
- A collection of drug discovery, classification and representation learning papers with deep learning.☆42Updated 4 years ago
- BayeshERG Official Repository☆16Updated 7 months ago
- Fragment-based generative RL with Explorative Experience replay for Drug design (FREED)☆55Updated 3 years ago
- All graph/GNN papers accepted at NeurIPS 2024.☆84Updated last year
- Replication of the Principal Odor Map paper by Brian K. Lee et al. (2023).☆38Updated 2 months ago
- List of Geometric GNNs for 3D atomic systems☆119Updated last year
- ☆25Updated 3 weeks ago
- Code for "HiGNN: A Hierarchical Informative Graph Neural Network for Molecular Property Prediction Equipped with Feature-Wise Attention"☆52Updated 3 years ago
- This repo implements and trains Vision Transformer (VIT) on a synthetically generated dataset which has colored mnist images on texture b…☆23Updated last year
- EDM: E(3) Equivariant Diffusion Model for Molecule Generation in 3D☆27Updated 2 years ago
- Pytorch implementation of the paper "Automatic Chemical Design Using a Data-Driven Continuous Representation of Molecules"☆68Updated 4 years ago
- Molecule Graph Generation using Graph Convolutional Networks-based Variational Graph AutoEncoders (VGAE) in PyTorch☆25Updated last year
- Deep Generative Models: Diffusion Models for Molecule Generation☆10Updated last year
- ☆47Updated last year