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

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

A privacy-focused, intelligent security camera system.

Find-Lane-Line - Use openCV library and Python to detect the road-lane-line

This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL 2021.

SwinTrack: A Simple and Strong Baseline for Transformer Tracking

IMBENS: class-imbalanced ensemble learning in Python.

🚀 An end-to-end ML applications using PyTorch, W&B, FastAPI, Docker, Streamlit and Heroku

FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control

GAN encoders in PyTorch that could match PGGAN, StyleGAN v1/v2, and BigGAN. Code also integrates the implementation of these GANs.

A python library for self-supervised learning on images.

Pytorch implementation of "Neural Wireframe Renderer: Learning Wireframe to Image Translations"

A port of muP to JAX/Haiku

Source code for our Paper "Learning in High-Dimensional Feature Spaces Using ANOVA-Based Matrix-Vector Multiplication"

PlenOctree Extraction algorithm

State of the Art Neural Networks for Deep Learning

Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"

Dataset and codebase for NeurIPS 2021 paper: Exploring Forensic Dental Identification with Deep Learning

CarND-LaneLines-P1 - Lane Finding Project for Self-Driving Car ND

This code is a near-infrared spectrum modeling method based on PCA and pls

Source Code for ICSE 2022 Paper - ``Can We Achieve Fairness Using Semi-Supervised Learning?''

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

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

A privacy-focused, intelligent security camera system.

Find-Lane-Line - Use openCV library and Python to detect the road-lane-line

This repository contains the code, data, and models of the paper titled "XL-Sum: Large-Scale Multilingual Abstractive Summarization for 44 Languages" published in Findings of the Association for Computational Linguistics: ACL 2021.

SwinTrack: A Simple and Strong Baseline for Transformer Tracking

IMBENS: class-imbalanced ensemble learning in Python.

🚀 An end-to-end ML applications using PyTorch, W&B, FastAPI, Docker, Streamlit and Heroku

FIGARO: Generating Symbolic Music with Fine-Grained Artistic Control

GAN encoders in PyTorch that could match PGGAN, StyleGAN v1/v2, and BigGAN. Code also integrates the implementation of these GANs.

A python library for self-supervised learning on images.

Pytorch implementation of "Neural Wireframe Renderer: Learning Wireframe to Image Translations"

A port of muP to JAX/Haiku

Source code for our Paper "Learning in High-Dimensional Feature Spaces Using ANOVA-Based Matrix-Vector Multiplication"

PlenOctree Extraction algorithm

State of the Art Neural Networks for Deep Learning

Source code for CVPR 2020 paper "Learning to Forget for Meta-Learning"

Dataset and codebase for NeurIPS 2021 paper: Exploring Forensic Dental Identification with Deep Learning

CarND-LaneLines-P1 - Lane Finding Project for Self-Driving Car ND

This code is a near-infrared spectrum modeling method based on PCA and pls

Source Code for ICSE 2022 Paper - ``Can We Achieve Fairness Using Semi-Supervised Learning?''

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