Python package for graph neural networks in chemistry and biology
- deep-learning
- graph-neural-networks
- dgl
- cheminformatics
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Python package for graph neural networks in chemistry and biology
A PyTorch and TorchDrug based deep learning library for drug pair scoring. (KDD 2022)
Throw in the towel.
OpenChem: Deep Learning toolkit for Computational Chemistry and Drug Design Research
Simultaneous Nuclear Instance Segmentation and Classification in H&E Histology Images.
A Go package for engineering organisms.
Chainer Chemistry: A Library for Deep Learning in Biology and Chemistry
Interactive network visualization in Python and Dash, powered by Cytoscape.js
⚗ A package useful for chemistry written in Python
A Free and Open Source Python Library for Multiobjective Optimization
DiffSharp: Differentiable Functional Programming
A Swift micro library for generating Sunrise and Sunset times on device, requiring no network access.
🎯 A comprehensive gradient-free optimization framework written in Python
A Euclidean diffusion model for structure-based drug design.
U-Net Brain Tumor Segmentation
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 for classification of high resolution whole-slide images, often microscopy or histopathology images.
SCENIC is an R package to infer Gene Regulatory Networks and cell types from single-cell RNA-seq data.
Sequential regulatory activity predictions with deep convolutional neural networks.
PyKEP is a scientific library providing basic tools for research in interplanetary trajectory design.
Universal cheminformatics toolkit, utilities and database search tools
The repository host gives no description.
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
A library designed to ease geographic coordinate format conversions, and determine sun/moon information in C#
Neural networks toolbox focused on medical image analysis