1.google-research / google-research
Google Research
Ranked by Attention Score: stars gained over the last 90 complete days
24 repositories by Attention Score · Aug 6, 2026 – Nov 3, 2026 (UTC)
Google Research
2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
WebGL accelerated JavaScript molecular graphics library
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
Precision Medicine Knowledge Graph (PrimeKG)
Tutorials and programming exercises for learning Q# and quantum computing
Foundation Models for Genomics & Transcriptomics
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Microsoft Quantum Development Kit Samples
Lectures on scientific computing with python, as IPython notebooks.
A collection of Jupyter notebooks showing how to use the Qiskit SDK
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
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
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
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.