Google Research (google-research)

Google Research

google-research

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Home Page:https://research.google

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Google Research's repositories

simclr

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

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:3975Issues:47Issues:197

albert

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

Language:PythonLicense:Apache-2.0Stargazers:3215Issues:71Issues:182
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deeplab2

DeepLab2 is a TensorFlow library for deep labeling, aiming to provide a unified and state-of-the-art TensorFlow codebase for dense pixel labeling tasks.

Language:PythonLicense:Apache-2.0Stargazers:991Issues:23Issues:138

maxim

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

Language:PythonLicense:Apache-2.0Stargazers:964Issues:14Issues:38

nasbench

NASBench: A Neural Architecture Search Dataset and Benchmark

Language:PythonLicense:Apache-2.0Stargazers:679Issues:19Issues:24

bleurt

BLEURT is a metric for Natural Language Generation based on transfer learning.

Language:PythonLicense:Apache-2.0Stargazers:661Issues:13Issues:50

batch_rl

Offline Reinforcement Learning (aka Batch Reinforcement Learning) on Atari 2600 games

Language:PythonLicense:Apache-2.0Stargazers:513Issues:13Issues:36

maxvit

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

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:421Issues:9Issues:20

ssl_detection

Semi-supervised learning for object detection

Language:PythonLicense:Apache-2.0Stargazers:400Issues:14Issues:30

python-graphs

A static analysis library for computing graph representations of Python programs suitable for use with graph neural networks.

Language:PythonLicense:Apache-2.0Stargazers:320Issues:8Issues:10
Language:PythonLicense:Apache-2.0Stargazers:171Issues:7Issues:10

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.

Language:PythonLicense:Apache-2.0Stargazers:157Issues:11Issues:4
Language:Jupyter NotebookLicense:Apache-2.0Stargazers:115Issues:9Issues:6
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reincarnating_rl

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

Language:PythonLicense:Apache-2.0Stargazers:90Issues:7Issues:4
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pisac

Tensorflow 2 source code for the PI-SAC agent from "Predictive Information Accelerates Learning in RL" (NeurIPS 2020)

Language:PythonLicense:Apache-2.0Stargazers:40Issues:8Issues:4
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Language:PythonLicense:Apache-2.0Stargazers:23Issues:4Issues:0
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Language:PythonLicense:Apache-2.0Stargazers:13Issues:7Issues:2

hybrid_rcc

A C++ library for information theory and probability

Language:C++License:Apache-2.0Stargazers:10Issues:4Issues:0
Language:PythonLicense:Apache-2.0Stargazers:9Issues:5Issues:3
Language:Jupyter NotebookLicense:Apache-2.0Stargazers:9Issues:2Issues:0