Learn morphological states of dynamic cells

Strategies for Pre-training Graph Neural Networks

Deep-learning models for Drug Discovery and Quantum Chemistry

PyTorch implementation of the NIPS-17 paper "Poincaré Embeddings for Learning Hierarchical Representations"

A method for calculating single cell entropy and reconstructing cell differentiation lineage using single-cell RNA-seq data

An experimental repo for experimenting with PyTorch models

Markdown Cheatsheet for Github Readme.md

TensorFlow-based neural network library

Example code from the book "Deep Learning for the Life Sciences"

Application of Spectranet to Phosphopeptides

Segmentation models with pretrained backbones. Keras.

Algorithm for the inference of cell types and lineage trees from single-cell RNA-seq data. Please download the R package from the RaceID3_StemID2_package repository, which contains the current vers…

Autoencoder network for learning a continuous representation of molecular structures.

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

PRIDE Inspector is a Java desktop application to visualise and Quality Assessment on Mass Spectrometry data and Proteomics

Objective-Reinforced Generative Adversarial Networks (ORGAN) for Sequence Generation Models

Tensors and Dynamic neural networks in Python with strong GPU acceleration

Bayesian optimization for Python

Official git repository for Biopython (converted from CVS)

Remote protein homology detection suite.

A modern, open library for the analysis of molecular dynamics trajectories