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Dépôts de google-research

arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv

Dernier commit 14 déc. 2023

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Dernier commit 18 juil. 2024

 (56 stars) (9 forks) (0 issues indexées) (0 good first issues ouvertes)

Efficient Batched Reinforcement Learning in TensorFlow

Dernier commit 11 janv. 2019

 (963 stars) (154 forks) (1 issue indexée) (1 good first issue ouverte)

TensorFlow code and pre-trained models for BERT

Dernier commit 23 juil. 2024

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Transformers for Longer Sequences

Dernier commit 1 sept. 2022

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Dernier commit 26 sept. 2023

 (126 stars) (7 forks) (0 issues indexées) (0 good first issues ouvertes)

Research language for array processing in the Haskell/ML family

Dernier commit 5 janv. 2026

 (1 681 stars) (116 forks) (4 issues indexées) (4 good first issues ouvertes)

Code for "Don't trust your eyes: on the (un)reliability of feature visualizations" (ICML 2024)

Dernier commit 15 nov. 2023

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google-research/kubricJupyter Notebook

A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.

Dernier commit 21 mai 2026

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Shared repository for open-sourced projects from the Google AI Language team.

Dernier commit 17 oct. 2024

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Dernier commit 23 janv. 2023

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A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.

Dernier commit 27 juil. 2020

 (701 stars) (141 forks) (0 issues indexées) (0 good first issues ouvertes)

Fast & Simple Resource-Constrained Learning of Deep Network Structure

Dernier commit 27 juil. 2023

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Dernier commit 28 juin 2022

 (1 592 stars) (84 forks) (0 issues indexées) (0 good first issues ouvertes)

Dernier commit 28 mai 2026

 (363 stars) (69 forks) (0 issues indexées) (0 good first issues ouvertes)

Tooling for agile modeling on large machine perception embedding databases.

Dernier commit 3 juin 2026

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Dernier commit 3 juin 2025

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Learning Latent Dynamics for Planning from Pixels

Dernier commit 24 mars 2023

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SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.

Dernier commit 29 nov. 2022

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Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"

Dernier commit 9 oct. 2023

 (5 522 stars) (736 forks) (0 issues indexées) (0 good first issues ouvertes)