1.google-research / google-research
Google Research
Ranked by Attention Score: stars gained over the last 90 complete days
45 repositories by Attention Score · Aug 7, 2026 – Nov 4, 2026 (UTC)
Google Research
The repository host gives no description.
WebGL accelerated JavaScript molecular graphics library
Pathology Foundation Model - Nature Medicine
Precision Medicine Knowledge Graph (PrimeKG)
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Foundation Models for Genomics & Transcriptomics
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
BulkFormer: A large-scale foundation model for human bulk transcriptomes
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
The repository host gives no description.
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
scPerturb: A resource and a python/R tool for single-cell perturbation data
Repository for Nicheformer: a foundation model for single-cell and spatial omics
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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
🏃 The go-to single-cell Foundation Model
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
The repository host gives no description.
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
The repository host gives no description.
Optimising chemical reactions using machine learning
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
The repository host gives no description.
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
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.
Deep Reinforcement Learning for de-novo Drug Design
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
Wrapper for RDKit's RunReactants to improve stereochemistry handling
The repository host gives no description.
Integrated pipeline for multiplexed image analysis
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
open source E-book on statistical physics
Research experiments exploring uncommon quant techniques.
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.