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Pinned repositories
Repositories
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kapitan
Generic templated configuration management for Kubernetes, Terraform and other things
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dm-haiku
JAX-based neural network library
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acme
A library of reinforcement learning components and agents
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reverb
Reverb is an efficient and easy-to-use data storage and transport system designed for machine learning research
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graph_nets
Build Graph Nets in Tensorflow
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tree
tree is a library for working with nested data structures
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dm_env
A Python interface for reinforcement learning environments
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deepmind-research
This repository contains implementations and illustrative code to accompany DeepMind publications
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open_spiel
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
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spriteworld
Spriteworld: a flexible, configurable python-based reinforcement learning environment
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bsuite
bsuite is a collection of carefully-designed experiments that investigate core capabilities of a reinforcement learning (RL) agent
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dm_control
The DM Control Suite and Package is a tool for developing and testing reinforcement learning agents for the MuJoCo physics engine.
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sonnet
TensorFlow-based neural network library
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pysc2
StarCraft II Learning Environment
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dm_env_rpc
A networking protocol for agent-environment communication
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lamb
LAnguage Modelling Benchmarks
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trfl
TensorFlow Reinforcement Learning
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multidim-image-augmentation
This package provides TensorFlow Ops for multidimensional volumetric image augmentation.
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narrativeqa
This repository contains the NarrativeQA dataset. It includes the list of documents with Wikipedia summaries, links to full stories, and questions and answers.
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dm_memorytasks
A set of 13 diverse machine-learning tasks that require memory to solve.
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neural-processes
This repository contains notebook implementations of the following Neural Process variants: Conditional Neural Processes (CNPs), Neural Processes (NPs), Attentive Neural Processes (ANPs).
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ai-safety-gridworlds
This is a suite of reinforcement learning environments illustrating various safety properties of intelligent agents.
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wasserstein_fairness
An implementation of Wasserstein Fair Classification, a conference paper submitted to UAI 2019.
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leaps-and-bounds
This is an implementation of LeapsAndBounds and Structured Procrastination for approximately optimal algorithm configuration.
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learning-to-learn
Learning to Learn in TensorFlow
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lab
A customisable 3D platform for agent-based AI research