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(4,478 stars) (289 forks) (0 indexed issues) (0 open good first issues)
Efficient Batched Reinforcement Learning in TensorFlow
(963 stars) (154 forks) (1 indexed issue) (1 open good first issue)
google-research/bertPython
TensorFlow code and pre-trained models for BERT
(39,503 stars) (9,702 forks) (0 indexed issues) (0 open good first issues)
google-research/bigbirdPython
Transformers for Longer Sequences
(522 stars) (96 forks) (0 indexed issues) (0 open good first issues)
google-research/dex-langHaskell
Research language for array processing in the Haskell/ML family
(1,681 stars) (116 forks) (4 indexed issues) (4 open good first issues)
A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.
(701 stars) (141 forks) (0 indexed issues) (0 open good first issues)
Fast & Simple Resource-Constrained Learning of Deep Network Structure
(1,010 stars) (151 forks) (0 indexed issues) (0 open good first issues)
google-research/planetPython
Learning Latent Dynamics for Planning from Pixels
(1,143 stars) (205 forks) (0 indexed issues) (0 open good first issues)
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 indexed issues) (0 open good first issues)
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"
(5,522 stars) (736 forks) (0 indexed issues) (0 open good first issues)