Google Research

google-research

Google Research

timesfm

TimesFM (Time Series Foundation Model) is a pretrained time-series foundation model developed by Google Research for time-series forecasting.

t5x

circuit_training

neuralgcm

Hybrid ML + physics model of the Earth's atmosphere

vmoe

arco-era5

Recipes for reproducing Analysis-Ready & Cloud Optimized (ARCO) ERA5 datasets.

falken

Falken provides developers with a service that allows them to train AI that can play their games

dinosaur

perch

mood-board-search

skai

SKAI is a machine learning based tool for performing automatic building damage assessments on aerial imagery of disaster sites.

android_world

AndroidWorld is an environment and benchmark for autonomous agents

task-oriented-dialogue

swirl-lm

sofima

Scalable Optical Flow-based Image Montaging and Alignment

structured-additive-IR

dataclass_array

Dataclasses manipulated as numpy arrays (with batching, reshape, slicing,...)

kauldron

Modular, scalable codebase to train ML models

nisaba

Finite-state script normalization and processing utilities

CVD-paper-mobile-camera-example

spade_anomaly_detection

Semi-supervised anomaly detection method

raksha

connectomics

gpax

diffren

active-adversarial-tests

Official implementation of the paper "Increasing Confidence in Adversarial Robustness Evaluations"

fool-me-twice

Game code and data for Fool Me Twice: Entailment from Wikipedia Gamification https://arxiv.org/abs/2104.04725

usnea

cloud-ai-research

The Google Cloud AI Research team tackles AI research challenges motivated by Google Cloud’s mission of bringing AI to tech, healthcare, finance, retail and many other industries. As part of these efforts, we develop new models, algorithms and tools. This repository is a collection of OSS Colabs that we want to share with the broader community.