deepmind topic
skrl
Modular reinforcement learning library (on PyTorch and JAX) with support for NVIDIA Isaac Gym, Omniverse Isaac Gym and Isaac Lab
objects-that-sound
Unofficial Implementation of Google Deepmind's paper `Objects that Sound`
wavenet-classifier
Keras Implementation of Deepmind's WaveNet for Supervised Learning Tasks
scan
SCAN: Learning Abstract Hierarchical Compositional Visual Concepts
two-step-task
Implementation of the two-step-task as described in "Prefrontal cortex as a meta-reinforcement learning system" and "Learning to Reinforcement Learn".
pathnet
Tensorflow Implementation of PathNet: Evolution Channels Gradient Descent in Super Neural Networks
haiku-scalable-example
Scalable distributed reinforcement learning agents on kubernetes
Overcoming-Catastrophic-forgetting-in-Neural-Networks
Elastic weight consolidation technique for incremental learning.
Meta-RL-TwoStep-Task
PyTorch implementation of Episodic Meta Reinforcement Learning on variants of the "Two-Step" task. Reproduces the results found in three papers. Check the ReadMe for more details!
nfnets-Tensorflow-2
Pre-trained NFNets with 99% of the accuracy of the official paper "High-Performance Large-Scale Image Recognition Without Normalization".