To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released

Code connected to the paper "Predicting the probability of death using proteomics"

Nextstrain build for novel coronavirus (nCoV)

A library for calculating Amino Acid conservation in sequence alignment

Implementation of Graph Auto-Encoders in TensorFlow

Implementation of Graph Convolutional Networks in TensorFlow

Accelerated BLAST compatible local sequence aligner.

Tensorflow implementation of MolGAN: An implicit generative model for small molecular graphs (https://arxiv.org/abs/1805.11973)

Protein-Level ASSembler (PLASS): sensitive and precise protein assembler

Benchmark for PLASS paper

Code for KekuleScope

A list of deep learning implementations in biology

TensorFlow code and pre-trained models for BERT

A case study on Pfam dataset to classify protein families.

Code for design of diagnostic PCR primers, and metabarcoding markers.

Tasks Assessing Protein Embeddings (TAPE), a set of five biologically relevant semi-supervised learning tasks spread across different domains of protein biology.

Antibiotic resistance prediction in minutes

Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations

Molecular MHFP fingerprints for cheminformatics applications

A Graph Neural Network (Geometric machine learning) for molecular generation

Examples of using deep learning in Bioinformatics

Simple oligo analysis and primer design

Code for the Nature Scientific Reports paper "Pathologist-level classification of histologic patterns on resected lung adenocarcinoma slides with deep neural networks." A sliding window framework f…

Make your Mac compatible with NVIDIA and AMD eGPUs. (macOS High Sierra)