myGym

Result code in IS VaVaI

<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F68407700%3A21730%2F21%3A00356339" target="_blank" >RIV/68407700:21730/21:00356339 - isvavai.cz</a>

Result on the web

<a href="https://github.com/incognite-lab/myGym" target="_blank" >https://github.com/incognite-lab/myGym</a>

DOI - Digital Object Identifier

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Result language

angličtina

Original language name

myGym

Original language description

Toolkit suitable for fast prototyping of neural networks in the area of robotic manipulation and navigation. Our toolbox is fully modular, so that you can train your network with different robots, in several environments and on various tasks. You can also create a curriculum of tasks with increasing complexity and test your network on them. We also included an automatic evaluation and benchmark tool for your developed model. We have pretained the Yolact network for visual recognition of all objects in the simulator, so that you can reward your networks based on visual sensors only. We keep training the current state-of-the-art algorithms to provide baselines for the tasks in the toolbox. There is also a leaderboard showing algorithms with the best generalization capability, tested on the tasks in our basic curriculum.

Czech name

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Czech description

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Type

R - Software

CEP classification

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OECD FORD branch

10201 - Computer sciences, information science, bioinformathics (hardware development to be 2.2, social aspect to be 5.8)

Project

<a href="/en/project/EF16_019%2F0000766" target="_blank" >EF16_019/0000766: Engineering applications of microworld physics</a><br>

Continuities

P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Publication year

2021

Confidentiality

S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Internal product ID

mygym 2.0

Technical parameters

System requirements Ubuntu 18.04, 20.04 Python 3 GPU acceleration strongly recommended

Economical parameters

Vytvořeno v rámci projektu INAFYM

Owner IČO

68407700

Owner name

České vysoké učení technické v Praze / Český institut informatiky, robotiky a kybernetiky