Pinned Repositories
albert
ALBERT: A Lite BERT for Self-supervised Learning of Language Representations
arxiv-latex-cleaner
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
bert
TensorFlow code and pre-trained models for BERT
football
Check out the new game server:
google-research
Google Research
multinerf
A Code Release for Mip-NeRF 360, Ref-NeRF, and RawNeRF
simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
text-to-text-transfer-transformer
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
vision_transformer
Google Research's Repositories
google-research/football
Check out the new game server:
google-research/frame-interpolation
FILM: Frame Interpolation for Large Motion, In ECCV 2022.
google-research/pegasus
google-research/big_transfer
Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.
google-research/torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
google-research/tapas
End-to-end neural table-text understanding models.
google-research/pix2seq
Pix2Seq codebase: multi-tasks with generative modeling (autoregressive and diffusion)
google-research/bleurt
BLEURT is a metric for Natural Language Generation based on transfer learning.
google-research/lasertagger
google-research/pix2struct
google-research/batch_rl
Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games
google-research/adapter-bert
google-research/distilling-step-by-step
google-research/python-graphs
A static analysis library for computing graph representations of Python programs suitable for use with graph neural networks.
google-research/graphworld
google-research/rl-reliability-metrics
The RL Reliability Metrics library provides a set of metrics for measuring the reliability of reinforcement learning (RL) algorithms, as well as statistical tools for comparing algorithms and for computing confidence intervals on these metrics.
google-research/reverse-engineering-neural-networks
A collection of tools for reverse engineering neural networks.
google-research/world_models
google-research/cad-estate
google-research/FirstOrderLp.jl
Experimental first-order solvers for linear and quadratic programming.
google-research/reincarnating_rl
[NeurIPS 2022] Open source code for reusing prior computational work in RL.
google-research/lingvo-lab
Demos, samples, and experimental code for Lingvo.
google-research/arcade-nl2code
google-research/fooling-feature-visualizations
Code for "Don't trust your eyes: on the (un)reliability of feature visualizations"
google-research/human-scene-transformer
Human Scene Transformer: A framework for trajectory prediction and wrappers for reframing the JRDB dataset for the prediction task.
google-research/met
google-research/r_u_sure
Code accompanying the paper "R-U-SURE? Uncertainty-Aware Code Suggestions By Maximizing Utility Across Random User Intents"
google-research/hybrid_rcc
A C++ library for information theory and probability
google-research/multi-morph-checklist
google-research/sparse_dp_histograms