Stars
Geometric deep learning method to predict protein binding interfaces from a protein structure.
Neural relational inference for interacting systems - pytorch
Neural relational inference for molecular dynamics simulations
The official implementation of the Molecule Attention Transformer.
[MICCAI'21 & MICCAI'20] A Codebase for Universal Lesion Detection (DeepLesion SOTA)
End-To-End Molecular Dynamics (MD) Engine using PyTorch
ODIR-2019: Ocular Disease Intelligent Recognition is a project leveraging state-of-the-art deep learning architectures to analyze and classify ocular diseases based on medical imaging data. This re…
Solving CheXNet using a DenseNet121 in Pytorch
Evolutionary Scale Modeling (esm): Pretrained language models for proteins
This repository has implementation and tutorial for Deep Belief Network
Pytorch Repo for DeepGCNs (ICCV'2019 Oral, TPAMI'2021), DeeperGCN (arXiv'2020) and GNN1000(ICML'2021): https://www.deepgcns.org
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
To eventually become an unofficial Pytorch implementation / replication of Alphafold2, as details of the architecture get released
DL Project concerning the ODIR-5K dataset
ProtTrans is providing state of the art pretrained language models for proteins. ProtTrans was trained on thousands of GPUs from Summit and hundreds of Google TPUs using Transformers Models.
Simple HTML/Javascript viewer for examing SDF files with data
TCGA Benchmark Tasks for Clinical Attribute Prediction based on Genome
Weakly Supervised Learning for Findings Detection in Medical Images
Facebook AI Research Sequence-to-Sequence Toolkit written in Python.
A project to enable optimization of molecules by transforming them to and from a continuous representation.
Democratizing Deep-Learning for Drug Discovery, Quantum Chemistry, Materials Science and Biology