1.google-research / google-research
Google Research
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1–100 of 101 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
stable diffusion webui colab
The repository host gives no description.
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.
Create delightful software with Jupyter Notebooks
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
A Python library for introductory data science
StableLM: Stability AI Language Models
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.
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.
🍇 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.
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
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.
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.
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.
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.
Slides, scripts and materials for the Machine Learning in Finance Course at NYU Tandon, 2022
TranslatedTensorFlow in practice: using LSTM to predict lottery results
Deep Reinforcement Learning for de-novo Drug Design
This trading-gym is the first trading for agent to train with episode of short term trading itself.
Analysis of High Frequency Trading on Bitcoin exchanges
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
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.
Various Jupyter notebooks about Common Crawl data
Repository for paper scMulan: a multitask generative pre-trained language model for single-cell analysis.
open source E-book on statistical physics
💸 Papers and Code Implements for Quantitative-Trading
CancerFoundation: A single-cell RNA sequencing foundation model to decipher drug resistance in cancer
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
A library of metrics for evaluating recommender systems
Python package for Bayesian Machine Learning with scikit-learn API
Reinforcement Learning for Portfolio Management
Full tutorial of computer vision and machine learning basics with OpenCV and Keras in Python.
optimization routines for hyperparameter tuning
The repository host gives no description.
An interactive Quiz generator for Jupyter notebooks and Jupyter Book
General Modeling Network Specification
tutorials made for biologists to learn deep learning
Generate random crop fields for Ignition Gazebo
Research experiments exploring uncommon quant techniques.
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
Classification and Gradient-based Localization of Chest Radiographs using PyTorch.
Exploring the space of drug combinations to discover synergistic drugs using Active Learning
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.