1.google-research / google-research
Google Research
Ranked by Attention Score: stars gained over the last 180 complete days
57 repositories by Attention Score · May 9, 2026 – Nov 4, 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
Automatic extraction of relevant features from time series:
Kubernetes Community Documentation
MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases
stable diffusion webui colab
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.
The repository host gives no description.
A library for debugging/inspecting machine learning classifiers and explaining their predictions
Create delightful software with Jupyter Notebooks
Algorithms for outlier, adversarial and drift detection
A Python library for introductory data science
A scikit-learn compatible neural network library that wraps PyTorch
Utility functions for handling MIDI data in a nice/intuitive way.
StableLM: Stability AI Language Models
Debugging, monitoring and visualization for Python Machine Learning and Data Science
ZeroCostDL4Mic: A Google Colab based no-cost toolbox to explore Deep-Learning in Microscopy
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.
A collection of infrastructure and tools for research in neural network interpretability.
An interactive data visualization tool which brings matplotlib graphics to the browser using D3.
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
🍇 GRAPE is a Rust/Python Graph Representation Learning library for Predictions and Evaluations
The fast Continuous Wavelet Transform (fCWT) is a library for fast calculation of CWT.
Python library for interactive topic model visualization. Port of the R LDAvis package.
Build animated charts in Jupyter Notebook and similar environments with a simple Python syntax.
An OCaml kernel for Jupyter (IPython) notebook
Easy pipelines for pandas DataFrames.
A database of paths that represent the mechanism of action from a drug to a disease in an indication.
Research experiments exploring uncommon quant techniques.
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.
Deep learning model for single-cell inference of multi-omic profiles from a single input modality.
The repository host gives no description.
TranslatedTensorFlow in practice: using LSTM to predict lottery results
Analysis of High Frequency Trading on Bitcoin exchanges
Moved to https://codeberg.org/araichev/gtfs_kit.
General Modeling Network Specification
Various Jupyter notebooks about Common Crawl data
Machine learning for Analysis of Proteomics in Spatial biology - Nature Communications
A library of metrics for evaluating recommender systems
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
UV-first benchmark for protein-ligand docking with reproducible annotation, pocket similarity, and HPC workflows.
Python package for Bayesian Machine Learning with scikit-learn API
Jupyter's kernel for Elixir programming language
Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.
Exploring the space of drug combinations to discover synergistic drugs using Active Learning