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Google Research

This repository contains code released by Google Research.

All datasets in this repository are released under the CC BY 4.0 International license, which can be found here: https://creativecommons.org/licenses/by/4.0/legalcode. All source files in this repository are released under the Apache 2.0 license, the text of which can be found in the LICENSE file.


Because the repo is large, we recommend you download only the subdirectory of interest:

SUBDIR=foo
svn export https://github.com/google-research/google-research/trunk/$SUBDIR

If you'd like to submit a pull request, you'll need to clone the repository; we recommend making a shallow clone (without history).

git clone [email protected]:google-research/google-research.git --depth=1

Disclaimer: This is not an official Google product.

Updated in 2023.

Google Research's Projects

leaf-audio icon leaf-audio

LEAF is a learnable alternative to audio features such as mel-filterbanks, that can be initialized as an approximation of mel-filterbanks, and then be trained for the task at hand, while using a very small number of parameters.

libsoftwaresync icon libsoftwaresync

:camera: :camera: :camera: :camera: :camera: Wireless software synchronization of multiple distributed smartphone cameras.

lingvo-lab icon lingvo-lab

Demos, samples, and experimental code for Lingvo.

magvit icon magvit

Official JAX implementation of MAGVIT: Masked Generative Video Transformer

maskgit icon maskgit

Official Jax Implementation of MaskGIT

maxim icon maxim

[CVPR 2022 Oral] Official repository for "MAXIM: Multi-Axis MLP for Image Processing". SOTA for denoising, deblurring, deraining, dehazing, and enhancement.

maxvit icon maxvit

[ECCV 2022] Official repository for "MaxViT: Multi-Axis Vision Transformer". SOTA foundation models for classification, detection, segmentation, image quality, and generative modeling...

meta-dataset icon meta-dataset

A dataset of datasets for learning to learn from few examples

mint icon mint

Multi-modal Content Creation Model Training Infrastructure including the FACT model (AI Choreographer) implementation.

morph-net icon morph-net

Fast & Simple Resource-Constrained Learning of Deep Network Structure

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