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seqgan-pytorch

A implementation of SeqGAN in PyTorch, following the implementation in tensorflow.

smiles-x

Autonomous characterization of molecular compounds from small datasets without descriptors

smiles2actions

Action sequence prediction for arbitrary chemical equations

syba

Synthetic Bayesian Classification

synnet

tensor-field-networks

TensorFlow implementation of Tensor Field Networks. Developed and tested on Ubuntu 18.04 LTS

tensor-field-networks-1

TFN layers built using Tensorflow 2

tensorfieldnetworks

tf-diffwave

Tensorflow implementation of DiffWave: A Versatile Diffusion Model for Audio Synthesis

tmap

A very fast visualization library for large, high-dimensional data sets.

tome

A machine learning model for the prediction of optimal growth temperature of microorganisms and enzyme catalytic optima

tomer

A Python package to predict enzyme catalytic optimum temperature with machine learning

torsional-diffusion

Implementation of Torsional Diffusion for Molecular Conformer Generation (NeurIPS 2022)

tranception

Official repository for the paper "Tranception: Protein Fitness Prediction with Autoregressive Transformers and Inference-time Retrieval"

tranception-evaluation

transformer

A TensorFlow Implementation of the Transformer: Attention Is All You Need

transformers

🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.

transformertts

🤖💬 Transformer TTS: Implementation of a non-autoregressive Transformer based neural network for text to speech.

trdesign

trRosetta for protein design

tts

🐸💬 - a deep learning toolkit for Text-to-Speech, battle-tested in research and production

uni-fold

An open-source platform for developing protein models beyond AlphaFold.

uni-mol

Official Repository for the Uni-Mol Series Methods

unirep

UniRep model, usage, and examples.

unirep50

A slighlty modified version of the UniRep model

urnng

vaenar-tts

The official implementation of VAENAR-TTS, a VAE based non-autoregressive TTS model.

vampseq

We developed Variant Abundance by Massively Parallel Sequencing (VAMP-seq), which simultaneously measures the effects of thousands of missense variants on protein intracellular abundance, and applied it to study PTEN and TPMT, two clinically actionable genes. This repository houses the analysis scripts used for this study.

vfvs

VirtualFlow for Virtual Screening

vits

VITS: Conditional Variational Autoencoder with Adversarial Learning for End-to-End Text-to-Speech

vqvae-2

PyTorch implementation of VQ-VAE-2 from "Generating Diverse High-Fidelity Images with VQ-VAE-2"