1.google-research / google-research
Google Research
Ranked by Attention Score: stars gained over the last 90 complete days
27 repositories by Attention Score · Aug 6, 2026 – Nov 3, 2026 (UTC)
Google Research
The repository host gives no description.
WebGL accelerated JavaScript molecular graphics library
Pathology Foundation Model - Nature Medicine
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Precision Medicine Knowledge Graph (PrimeKG)
Foundation Models for Genomics & Transcriptomics
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Notebooks for financial economics. Keywords: Jupyter notebook pandas Federal Reserve FRED Ferbus GDP CPI PCE inflation unemployment wage income debt Case-Shiller housing asset portfolio equities SPX bonds TIPS rates currency FX euro EUR USD JPY yen XAU gold Brent WTI oil Holt-Winters time-series forecasting statistics econometrics
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
scPerturb: A resource and a python/R tool for single-cell perturbation data
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.
Reference mapping for single-cell genomics
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
Optimising chemical reactions using machine learning
The repository host gives no description.
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
open source E-book on statistical physics
Research experiments exploring uncommon quant techniques.
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.