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google-research のリポジトリ
(4,478 stars) (289 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Efficient Batched Reinforcement Learning in TensorFlow
(963 stars) (154 forks) (1 件の索引済み issue) (1 件のオープンな good first issue)
google-research/bertPython
TensorFlow code and pre-trained models for BERT
(39,503 stars) (9,702 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
google-research/bigbirdPython
Transformers for Longer Sequences
(522 stars) (96 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
google-research/dex-langHaskell
Research language for array processing in the Haskell/ML family
(1,681 stars) (116 forks) (4 件の索引済み issue) (4 件のオープンな good first issue)
A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.
(701 stars) (141 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Fast & Simple Resource-Constrained Learning of Deep Network Structure
(1,010 stars) (151 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
google-research/planetPython
Learning Latent Dynamics for Planning from Pixels
(1,143 stars) (205 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
google-research/seed_rlPython
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
(780 stars) (145 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
(5,522 stars) (736 forks) (0 件の索引済み issue) (0 件のオープンな good first issue)