Libraries, tools and tasks created and used at DeepMind Robotics.

Last update: Jan 06, 2023

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Overview

`dm_robotics`: Libraries, tools, and tasks created and used for Robotics research at DeepMind.

Package overview

Package	Summary
Transformations	Rigid body transformations
Geometry	Scene and Robot geometry primitives
Vision	Visual blob detection and tracking
AgentFlow	Reinforcement Learning agent composition library
Manipulation	"RGB" object meshes for manipulation tasks
MoMa	Manipulation environment definition library, for simulated and real robots
Controllers	QP-optimization based cartesian controller
Controller Bindings	Python bindings for the controller
Least Squares QP	QP task definition and solver

Installation

These libraries are distributed on PyPI, the packages are:

dm_robotics-transformations
dm_robotics-geometry
dm_robotics-vision
dm_robotics-agentflow
dm_robotics-manipulation
dm_robotics-moma
dm_robotics-controllers

Python versions 3.7, 3.8 and 3.9 are supported.

Dependencies

MoMa, Manipulation and Controllers depend on MuJoCo, the other packages do not. See the individual packages for more information on their dependencies.

Building

To build and test the libraries, run build.sh. This script assumes:

MuJoCo is installed.
dm_control is installed.
cmake version >= 3.20.2 is installed.
Python 3.7, 3.8 or 3.9 and system headers are installed.
GCC version 9 or later is installed.
numpy is installed.

The Python libraries are tested with tox, the C++ code is built and tested with cmake.

Tox's distshare mechanism is used to share the built source distribution packages between the packages.

Libraries, tools and tasks created and used at DeepMind Robotics.

Related tags

Overview

`dm_robotics`: Libraries, tools, and tasks created and used for Robotics research at DeepMind.

Package overview

Installation

Dependencies

Building

Owner

DeepMind

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Black box hyperparameter optimization made easy.

Learning hidden low dimensional dyanmics using a Generalized Onsager Principle and neural networks

Python module providing a framework to trace individual edges in an image using Gaussian process regression.

Genetic feature selection module for scikit-learn

SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems

Code for "Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency" paper

An Open-Source Package for Information Retrieval.

Code for the CVPR2022 paper "Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity"

PyZebrascope - an open-source Python platform for brain-wide neural activity imaging in behaving zebrafish

Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels

A Python library that provides a simplified alternative to DBAPI 2

This is the face keypoint train code of project face-detection-project

Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

Pytorch reimplementation of the Mixer (MLP-Mixer: An all-MLP Architecture for Vision)

ElasticFace: Elastic Margin Loss for Deep Face Recognition

Code for "Long Range Probabilistic Forecasting in Time-Series using High Order Statistics"

Source code of the paper "Deep Learning of Latent Variable Models for Industrial Process Monitoring".

Anonymous implementation of KSL

Official implementation for paper: A Latent Transformer for Disentangled Face Editing in Images and Videos.

Libraries, tools and tasks created and used at DeepMind Robotics.

Related tags

Overview

dm_robotics: Libraries, tools, and tasks created and used for Robotics research at DeepMind.

Package overview

Installation

Dependencies

Building

Owner

DeepMind

Library of deep learning models and datasets designed to make deep learning more accessible and accelerate ML research.

Black box hyperparameter optimization made easy.

Learning hidden low dimensional dyanmics using a Generalized Onsager Principle and neural networks

Python module providing a framework to trace individual edges in an image using Gaussian process regression.

Genetic feature selection module for scikit-learn

SLIDE : In Defense of Smart Algorithms over Hardware Acceleration for Large-Scale Deep Learning Systems

Code for "Share With Thy Neighbors: Single-View Reconstruction by Cross-Instance Consistency" paper

An Open-Source Package for Information Retrieval.

Code for the CVPR2022 paper "Frequency-driven Imperceptible Adversarial Attack on Semantic Similarity"

PyZebrascope - an open-source Python platform for brain-wide neural activity imaging in behaving zebrafish

Generalized Jensen-Shannon Divergence Loss for Learning with Noisy Labels

A Python library that provides a simplified alternative to DBAPI 2

This is the face keypoint train code of project face-detection-project

Code for Deterministic Neural Networks with Appropriate Inductive Biases Capture Epistemic and Aleatoric Uncertainty

Pytorch reimplementation of the Mixer (MLP-Mixer: An all-MLP Architecture for Vision)

ElasticFace: Elastic Margin Loss for Deep Face Recognition

Code for "Long Range Probabilistic Forecasting in Time-Series using High Order Statistics"

Source code of the paper "Deep Learning of Latent Variable Models for Industrial Process Monitoring".

Anonymous implementation of KSL

Official implementation for paper: A Latent Transformer for Disentangled Face Editing in Images and Videos.

`dm_robotics`: Libraries, tools, and tasks created and used for Robotics research at DeepMind.