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Dépôts
Dépôts de google-research
Efficient Batched Reinforcement Learning in TensorFlow
TensorFlow code and pre-trained models for BERT
Transformers for Longer Sequences
Research language for array processing in the Haskell/ML family
Code for "Don't trust your eyes: on the (un)reliability of feature visualizations" (ICML 2024)
A data generation pipeline for creating semi-realistic synthetic multi-object videos with rich annotations such as instance segmentation masks, depth maps, and optical flow.
Shared repository for open-sourced projects from the Google AI Language team.
A reimplementation of "The Lottery Ticket Hypothesis" (Frankle and Carbin) on MNIST.
Fast & Simple Resource-Constrained Learning of Deep Network Structure
Tooling for agile modeling on large machine perception embedding databases.
Learning Latent Dynamics for Planning from Pixels
SEED RL: Scalable and Efficient Deep-RL with Accelerated Central Inference. Implements IMPALA and R2D2 algorithms in TF2 with SEED's architecture.
Code for the paper "Exploring the Limits of Transfer Learning with a Unified Text-to-Text Transformer"