1.google-research / google-research
Google Research
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1–100 of 142 by Attention Score · Aug 6, 2026 – Nov 3, 2026 (UTC)
Google Research
A game theoretic approach to explain the output of any machine learning model.
Automatic extraction of relevant features from time series:
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
A library for debugging/inspecting machine learning classifiers and explaining their predictions
TeachOpenCADD: a teaching platform for computer-aided drug design (CADD) using open source packages and data
stable diffusion webui colab
The repository host gives no description.
Segment Anything for Microscopy
WebGL accelerated JavaScript molecular graphics library
Pathology Foundation Model - Nature Medicine
Genomic Pretrained Network - GPN, GPN-MSA, PhyloGPN, GPN-Star
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.
TorchXRayVision: A library of chest X-ray datasets and models. Classifiers, segmentation, and autoencoders.
Precision Medicine Knowledge Graph (PrimeKG)
Create delightful software with Jupyter Notebooks
An experimentation and research platform to investigate the interaction of automated agents in an abstract simulated network environments.
Foundation Models for Genomics & Transcriptomics
A Deep Learning Toolkit for DTI, Drug Property, PPI, DDI, Protein Function Prediction (Bioinformatics)
Instructional notebooks on music information retrieval.
FarmVibes.AI: Multi-Modal GeoSpatial ML Models for Agriculture and Sustainability
LLVIP: A Visible-infrared Paired Dataset for Low-light Vision
A scikit-learn compatible neural network library that wraps PyTorch
Utility functions for handling MIDI data in a nice/intuitive way.
Debugging, monitoring and visualization for Python Machine Learning and Data Science
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 Python library for introductory data science
StableLM: Stability AI Language Models
Synthetic data generators for tabular and time-series data
The repository host gives no description.
BulkFormer: A large-scale foundation model for human bulk transcriptomes
Algorithms for outlier, adversarial and drift detection
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
MolTrans: Molecular Interaction Transformer for Drug Target Interaction Prediction (Bioinformatics)
Open source remote sensing dataset with benchmarks
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.
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
The repository host gives no description.
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.
IPython notebooks on Gilbert Strang's MIT course on linear algebra (18.06)
ClinicalBERT: Modeling Clinical Notes and Predicting Hospital Readmission (CHIL 2020 Workshop)
Reference mapping for single-cell genomics
Tutorials, datasets, and other material associated with textbook "A First Course in Network Science" by Menczer, Fortunato & Davis
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.
🏃 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.
🐧 Abuse of Google Colab for cracking hashes.
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
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.
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
A collection of infrastructure and tools for research in neural network interpretability.
A knowledge graph and a set of tools for drug repurposing
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.
Agentic LLM CTF to test prompt injection attacks and preventions
CatBoost tutorials repository
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.
A python Two Source Energy Balance model for estimation of evapotranspiration with remote sensing data
A database of paths that represent the mechanism of action from a drug to a disease in an indication.
Code for "High-Precision Model-Agnostic Explanations" paper
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Wrapper for RDKit's RunReactants to improve stereochemistry handling
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
Python library for interactive topic model visualization. Port of the R LDAvis package.
Elastic Malware Benchmark for Empowering Researchers
TensorForce Bitcoin Trading Bot
Environment for reinforcement-learning algorithmic trading models
Mostly experiments based on "Advances in financial machine learning" book
The repository host gives no description.
Sources codes for: Mastering Python for Finance, Second Edition
An OCaml kernel for Jupyter (IPython) notebook
Pan-Cancer Integrative Histology-Genomic Analysis via Multimodal Deep Learning - Cancer Cell
The repository host gives no description.
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
The repository host gives no description.
Tutorials and training material for the H2O Machine Learning Platform
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
Introduction to Statistics using Python
TensorFlow Implementation of "Show, Attend and Tell"
Easy pipelines for pandas DataFrames.
Move fast from data science prototype to pipeline. Capture, analyze, and transform messy notebooks into data pipelines with just two lines of code.