chaoyan1037 / Re-balanced-VAELinks
Code for our paper Re-balancing Variational Autoencoder Loss for Molecule Sequence Generation.
☆11Updated 3 years ago
Alternatives and similar repositories for Re-balanced-VAE
Users that are interested in Re-balanced-VAE are comparing it to the libraries listed below
Sorting:
- Implementation of "Semi-supervised learning of hierarchical representations of molecules using neural message passing" (arXiv:1711.10168)☆14Updated 7 years ago
- Deterministic Decoding for Discrete Data in Variational Autoencoders☆24Updated 5 years ago
- A Prior of a Googol Gaussians: a Tensor Ring Induced Prior for Generative Models☆28Updated last year
- Interpreting graph convolutional filters of target prediction network☆48Updated 6 years ago
- ☆43Updated 2 years ago
- Pytorch reimplementation of Molecule Attention Transformer, which uses a transformer to tackle the graph-like structure of molecules☆58Updated 4 years ago
- BayesGrad: Explaining Predictions of Graph Convolutional Networks☆63Updated 3 years ago
- ☆81Updated last year
- Molecular Generation for Desired Transcriptome Changes with Adversarial Autoencoders☆53Updated 5 years ago
- Energy-based models for atomic-resolution protein conformations☆100Updated 3 years ago
- ☆34Updated 5 years ago
- Hierarchical Embedding for Drugs☆16Updated last year
- Code for "Molecular Hypergraph Grammar with Its Application to Molecular Optimization"☆39Updated 10 months ago
- A mini-framework to build and train neural networks for molecular biology.☆10Updated 7 years ago
- This repository contains code for reproducing results in our paper Interpreting Potts and Transformer Protein Models Through the Lens of …☆58Updated 3 years ago
- UCSF BMI219 Deep Learning (2017), Coding example (Prediction of protein folding with RNN and CNN)☆16Updated 8 years ago
- ☆11Updated 3 years ago
- An experimental repo for experimenting with PyTorch models☆36Updated 2 years ago
- ☆25Updated 3 years ago
- Deep learning based alignment-free method for protein family modeling and prediction☆16Updated 7 years ago
- ☆31Updated 7 years ago
- Implementation of Lie Transformer, Equivariant Self-Attention, in Pytorch☆96Updated 4 years ago
- iDeepV: predicting RBP binding sites using vector representation learned from sequences with a CNN.☆10Updated 6 years ago
- code for Syntax-Directed Variational Autoencoder that generates programs and molecues☆79Updated 7 years ago
- A molecule generation benchmarking platform☆13Updated 7 years ago
- Implementation of Geometric Vector Perceptron, a simple circuit for 3d rotation equivariance for learning over large biomolecules, in Pyt…☆75Updated 4 years ago
- Gold medal #2 Kaggle "Predicting Molecular Properties" compatition☆61Updated 6 years ago
- ☆34Updated 5 months ago
- Learning Multimodal Graph-to-Graph Translation for Molecular Optimization (ICLR 2019)☆148Updated 6 years ago
- An experimental package for deep learning for molecular docking☆20Updated 5 years ago