1.google-research / google-research
Google Research
Ranked by Attention Score: stars gained over the last 30 complete days
92 repositories by Attention Score · Oct 5, 2026 – Nov 3, 2026 (UTC)
Google Research
A game theoretic approach to explain the output of any machine learning model.
This repository contains implementations and illustrative code to accompany DeepMind publications
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
Kubernetes Community Documentation
Automatic extraction of relevant features from time series:
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
Pathology Foundation Model - Nature Medicine
WFGY is heading toward WFGY 5.0 Polaris Protocol, a major open-source release for AI reasoning, RAG, agents, and real-world workflows. Includes Problem Map, Global Debug Card, WFGY 4.0, and the CFV Easter Egg.
WebGL accelerated JavaScript molecular graphics library
Segment Anything for Microscopy
Foundation Models for Genomics & Transcriptomics
The repository host gives no description.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Precision Medicine Knowledge Graph (PrimeKG)
stable diffusion webui colab
Create delightful software with Jupyter Notebooks
Debugging, monitoring and visualization for Python Machine Learning and Data Science
A Python library for introductory data science
A scikit-learn compatible neural network library that wraps PyTorch
Algorithms for outlier, adversarial and drift detection
Utility functions for handling MIDI data in a nice/intuitive way.
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
Every day, millions of traders around the world are trying to make money by trading stocks. These days, physical traders are also being replaced by automated trading robots. Algorithmic trading market has experienced significant growth rate and large number of firms are using it. I have tried to build a Deep Q-learning reinforcement agent model to do automated stock trading.
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
Open source remote sensing dataset with benchmarks
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
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
The repository host gives no description.
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Repository for Nicheformer: a foundation model for single-cell and spatial omics
Optimising chemical reactions using machine learning
A collection of infrastructure and tools for research in neural network interpretability.
This repository introduces PIXIU, an open-source resource featuring the first financial large language models (LLMs), instruction tuning data, and evaluation benchmarks to holistically assess financial LLMs. Our goal is to continually push forward the open-source development of financial artificial intelligence (AI).
A knowledge graph and a set of tools for drug repurposing
The repository host gives no description.
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
Reference mapping for single-cell genomics
A collection of tasks to probe the effectiveness of protein sequence representations in modeling aspects of protein design
Code repository for The Automation Ahead series, showcasing practical examples for GenAI-driven automation in investments. Each installment dives into specific tools, techniques, and use cases to help professionals assess and apply GenAI effectively.
TensorForce Bitcoin Trading Bot
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
bert-loves-chemistry: a repository of HuggingFace models applied on chemical SMILES data for drug design, chemical modelling, etc.
The repository host gives no description.
TranslatedTensorFlow in practice: using LSTM to predict lottery results
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Fusing Histology and Genomics via Deep Learning - IEEE TMI
The repository host gives no description.
Wrapper for RDKit's RunReactants to improve stereochemistry handling
scPerturb: A resource and a python/R tool for single-cell perturbation data
The repository host gives no description.
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
🏃 The go-to single-cell Foundation Model
Code for "Predicting Cellular Responses to Novel Drug Perturbations at a Single-Cell Resolution", NeurIPS 2022.
The repository host gives no description.
The repository host gives no description.
This project aims to classify human activities using data obtained from accelerometer and gyroscope sensors from phone and watch.
Integrated pipeline for multiplexed image analysis
Official repo for CellPLM: Pre-training of Cell Language Model Beyond Single Cells.
BulkFormer: A large-scale foundation model for human bulk transcriptomes
open source E-book on statistical physics
Agentic LLM CTF to test prompt injection attacks and preventions
Deciphering cell-cell communication from spatially resolved transcriptomic data at single-cell resolution with subgraph-based attentional graph neural network
Python library for interactive topic model visualization. Port of the R LDAvis package.
🐧 Abuse of Google Colab for cracking hashes.
Environment for reinforcement-learning algorithmic trading models
Mostly experiments based on "Advances in financial machine learning" book
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
Cleora AI is a general-purpose open-source model for efficient, scalable learning of stable and inductive entity embeddings for heterogeneous relational data. Created by Synerise.com team.
Sources codes for: Mastering Python for Finance, Second Edition
Deep Reinforcement Learning for de-novo Drug Design
PRnet is a flexible and scalable perturbation-conditioned generative model predicting transcriptional responses to unseen complex perturbations at bulk and single-cell levels.
Big Data essentials: Hadoop, MapReduce, Spark. Explore tutorials and demos in Jupyter notebooks—most are self-contained and live, ready to run with a click.
A database of paths that represent the mechanism of action from a drug to a disease in an indication.
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Quantum Classification tutorial using Microsoft Quantum Development Kit