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:
- ☆101Updated 3 years ago
- A simple tutorial of Variational AutoEncoders with Pytorch☆429Updated last year
- Structure-based Drug Design; Reinforcement Learning and Genetic Algorithm☆76Updated 2 years ago
- Reinforcement Learning Algorithms Tutorial (Python) from scratch (Mar 2021)☆212Updated last month
- Simple and clean implementation of Conditional Variational AutoEncoder (cVAE) using PyTorch☆127Updated 2 years ago
- Hands-on AlphaFold implementation for educational purposes.☆102Updated 10 months ago
- ☆20Updated 3 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
- Deep Learning Projects using Graph Neural Networks (GNNs).☆37Updated 4 years ago
- A PyTorch Implementation of "Optimization of Molecules via Deep Reinforcement Learning".☆81Updated 2 years ago
- This is the official implementation of "Motif-based Graph Representation Learning with Application to Chemical Molecules".☆11Updated 2 years ago
- UROP Project @ Coley Group☆27Updated 3 years ago
- This is a curated list of research papers, resources and tools related to using Graph Neural Networks (GNNs) for drug discovery.☆61Updated last year
- Source code for Single-step Retrosynthesis Prediction by Leveraging Commonly Preserved Substructures☆14Updated 2 years ago
- Solutions to coding assignments of Stanford Reinforcement Learning course Winter 2021☆13Updated 4 years ago
- Regression Transformer (2023; Nature Machine Intelligence)☆159Updated 4 months ago
- Implementation of Deep RL Algorithms for UC Berkeley's CS 294-112 (Fall 2018): Deep Reinforcement Learning☆24Updated 6 years ago
- ☆42Updated last week
- ☆48Updated last year
- A collection of drug discovery, classification and representation learning papers with deep learning.☆41Updated 4 years ago
- Deep Generative Models: Diffusion Models for Molecule Generation☆10Updated last year
- EDM: E(3) Equivariant Diffusion Model for Molecule Generation in 3D☆27Updated 3 years ago
- MCMG_V1☆76Updated 3 years ago
- ☆25Updated last month
- 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
- Molecule Graph Generation using Graph Convolutional Networks-based Variational Graph AutoEncoders (VGAE) in PyTorch☆25Updated last year
- ARES implement in PyTorch☆15Updated last year
- ALL Molecular ML papers from NeurIPS'24.☆64Updated last year
- Fragment-based generative RL with Explorative Experience replay for Drug design (FREED)☆55Updated 3 years ago
- Apply fine-tuning and transfer learning for regression to ChemBERTa, a BERT-like model applied to chemical SMILES data.☆18Updated 2 years ago