Google Research 的公共 GitHub 足迹

TensorFlow code and pre-trained models for BERT

Google Research

A playbook for systematically maximizing the performance of deep learning models.

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

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

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

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

Scenic: A Jax Library for Computer Vision Research and Beyond

Check out the new game server:

Official codebase used to develop Vision Transformer, SigLIP, MLP-Mixer, LiT and more.

ALBERT: A Lite BERT for Self-supervised Learning of Language Representations

FILM: Frame Interpolation for Large Motion, In ECCV 2022.

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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.

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

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disentanglement_lib is an open-source library for research on learning disentangled representations.

Learning Latent Dynamics for Planning from Pixels

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

Fast & Simple Resource-Constrained Learning of Deep Network Structure

Official JAX implementation of MAGVIT: Masked Generative Video Transformer

Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)

[NeurIPS'21 Outstanding Paper] Library for reliable evaluation on RL and ML benchmarks, even with only a handful of seeds.

AndroidWorld is an environment and benchmark for autonomous agents

A Configurable Recommender Systems Simulation Platform

A collection of Google research projects related to Federated Learning and Federated Analytics.

[CoRL '23] Dexterous piano playing with deep reinforcement learning.

Dream to Control: Learning Behaviors by Latent Imagination

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A benchmark for the next generation of data-driven global weather models.

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

Learning to Prompt (L2P) for Continual Learning @ CVPR22 and DualPrompt: Complementary Prompting for Rehearsal-free Continual Learning @ ECCV22

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PDFM Embeddings: location-based vectors for geo-spatial analysis.

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Suite of human-collected datasets and a multi-task continuous control benchmark for open vocabulary visuolinguomotor learning.

Splat-SLAM: Globally Optimized RGB-only SLAM with 3D Gaussians

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Code for the paper "Defeating Prompt Injections by Design"

Learning from synthetic data - code and models

Machine learning models and utilities for exoplanet science.

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This is the official code release for SPARF: Neural Radiance Fields from Sparse and Noisy Poses [CVPR 2023-Highlight]

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

Modular, scalable library to train ML models

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Code associated with the paper An AI system to help scientists write expert-level empirical software

Python library which enables complex compositions of language models such as scratchpads, chain of thought, tool use, selection-inference, and more.

A modular framework for evaluating weather forecasts

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Deep networks for protein functional inference

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

[ECCV'24] Official Implementation of SemiVL: Semi-Supervised Semantic Segmentation with Vision-Language Guidance

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Tools for evaluating the performance of MT metrics on data from recent WMT metrics shared tasks.

RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems

E3x is a JAX library for constructing efficient E(3)-equivariant deep learning architectures built on top of Flax.

CoReNet is a technique for joint multi-object 3D reconstruction from a single RGB image.

Tooling for agile modeling on large machine perception embedding databases.

Repo for CReST: A Class-Rebalancing Self-Training Framework for Imbalanced Semi-Supervised Learning

[NeurIPS 2022] Open source code for reusing prior computational work in RL.

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Code and data accompanying the paper "TRUE: Re-evaluating Factual Consistency Evaluation".

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PaperOrchestra is a multi-agent framework for automated AI research paper writing.

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Semi-supervised anomaly detection method

Finite-state script normalization and processing utilities

Finite-state Transducer (FST) Library.

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This is the official code release for “M2SVid: End-to-End Inpainting and Refinement for Monocular-to-Stereo Video Conversion”. 3DV 2026

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

SLIP is a sandbox environment for engineering protein sequences with synthetic fitness functions.

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Look Back When Surprised: Stabilizing Reverse Experience Replay for Neural Approximation

Shared MuJoCo simulation scenes and assets for ROBEL environments.

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T2J-Bench is a benchmark for semantic-preserving codebase conversion.

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