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Pinned repositories
Repositories
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torchsde
Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
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reverse-engineering-neural-networks
A collection of tools for reverse engineering neural networks.
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xtreme
XTREME is a benchmark for the evaluation of the cross-lingual generalization ability of pre-trained multilingual models that covers 40 typologically diverse languages and includes nine tasks.
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dex-lang
Research language for array processing in the Haskell/ML family
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keyboard_oracle
A dynamic 'keyboard' made using Flutter. The keyboard uses what the user has already typed to predict what is most likely to come next and displays these predictions as buttons.
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text-to-text-transfer-transformer
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
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open-covid-19-data
Open source aggregation pipeline for public COVID-19 data, including hospitalization/ICU/ventilator numbers for many countries.
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bert
TensorFlow code and pre-trained models for BERT
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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.
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language
Shared repository for open-sourced projects from the Google AI Language team.
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tiny-differentiable-simulator
Tiny Differentiable Simulator is a header-only C++ physics library with zero dependencies.
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motion_imitation
Code accompanying the paper "Learning Agile Robotic Locomotion Skills by Imitating Animals"
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morph-net
Fast & Simple Resource-Constrained Learning of Deep Network Structure
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realworldrl_suite
Real-World RL Benchmark Suite
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tensor2robot
Distributed machine learning infrastructure for large-scale robotics research
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electra
ELECTRA: Pre-training Text Encoders as Discriminators Rather Than Generators
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turkish-morphology
A two-level morphological analyzer for Turkish.
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reassessed-imagenet
Labels and other data for the paper "Are we done with ImageNet?"
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tapas
End-to-end neural table-text understanding models.
