molecular VAE
Molecular AutoEncoder in PyTorch based on molencoder, more simple.
references
- Automatic chemical design using a data-driven continuous representation of molecules by Gómez-Bombarelli, et al.
topazape / molecular-VAE
Licence: Unlicense license
Implementation of the paper - Automatic chemical design using a data-driven continuous representation of molecules
Stars: ✭ 36
Programming Languages
python
139335 projects - #7 most used programming language
Projects that are alternatives of or similar to molecular-VAE
py4chemoinformatics
Python for chemoinformatics
Stars: ✭ 78 (+116.67%)
Mutual labels: cheminformatics, chemoinformatics
GLaDOS
Web Interface for ChEMBL @ EMBL-EBI
Stars: ✭ 28 (-22.22%)
Mutual labels: cheminformatics, chemoinformatics
global-chem
A Chemical Knowledge Graph of What is Common in the World.
Stars: ✭ 77 (+113.89%)
Mutual labels: cheminformatics, chemoinformatics
sirius
SIRIUS is a software for discovering a landscape of de-novo identification of metabolites using tandem mass spectrometry. This repository contains the code of the SIRIUS Software (GUI and CLI)
Stars: ✭ 32 (-11.11%)
Mutual labels: cheminformatics, denovo
chembience
A Docker-based, cloudable platform for the development of chemoinformatics-centric web applications and microservices.
Stars: ✭ 41 (+13.89%)
Mutual labels: cheminformatics, chemoinformatics
organic-chemistry-reaction-prediction-using-NMT
organic chemistry reaction prediction using NMT with Attention
Stars: ✭ 30 (-16.67%)
Mutual labels: cheminformatics, chemoinformatics
soft-intro-vae-pytorch
[CVPR 2021 Oral] Official PyTorch implementation of Soft-IntroVAE from the paper "Soft-IntroVAE: Analyzing and Improving Introspective Variational Autoencoders"
Stars: ✭ 170 (+372.22%)
Mutual labels: vae
deepgtt
DeepGTT: Learning Travel Time Distributions with Deep Generative Model
Stars: ✭ 30 (-16.67%)
Mutual labels: vae
language-models
Keras implementations of three language models: character-level RNN, word-level RNN and Sentence VAE (Bowman, Vilnis et al 2016).
Stars: ✭ 39 (+8.33%)
Mutual labels: vae
DeepSSM SysID
Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.
Stars: ✭ 62 (+72.22%)
Mutual labels: vae
Bagel
IPCCC 2018: Robust and Unsupervised KPI Anomaly Detection Based on Conditional Variational Autoencoder
Stars: ✭ 45 (+25%)
Mutual labels: vae
concept-based-xai
Library implementing state-of-the-art Concept-based and Disentanglement Learning methods for Explainable AI
Stars: ✭ 41 (+13.89%)
Mutual labels: vae
Jupyter Dock
Jupyter Dock is a set of Jupyter Notebooks for performing molecular docking protocols interactively, as well as visualizing, converting file formats and analyzing the results.
Stars: ✭ 179 (+397.22%)
Mutual labels: cheminformatics
benchmark VAE
Unifying Variational Autoencoder (VAE) implementations in Pytorch (NeurIPS 2022)
Stars: ✭ 1,211 (+3263.89%)
Mutual labels: vae
precision-recall-distributions
Assessing Generative Models via Precision and Recall (official repository)
Stars: ✭ 80 (+122.22%)
Mutual labels: vae
Fun-with-MNIST
Playing with MNIST. Machine Learning. Generative Models.
Stars: ✭ 23 (-36.11%)
Mutual labels: vae
Variational-Autoencoder-pytorch
Implementation of a convolutional Variational-Autoencoder model in pytorch.
Stars: ✭ 65 (+80.56%)
Mutual labels: vae
InpaintNet
Code accompanying ISMIR'19 paper titled "Learning to Traverse Latent Spaces for Musical Score Inpaintning"
Stars: ✭ 48 (+33.33%)
Mutual labels: vae
Note that the project description data, including the texts, logos, images, and/or trademarks,
for each open source project belongs to its rightful owner.
If you wish to add or remove any projects, please contact us at [email protected].