SimGAN
Pytorch Implementation of SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement L…
Visualization framework for autonomy and robotics data encoded in XVIZ
git clone https://github.com/aurora-opensource/streetscape.gl.gitaurora-opensource/streetscape.glstreetscape.gl is a toolkit for visualizing autonomous and robotics data in the XVIZ protocol. It is built on top of React and Uber’s WebGL-powered visualization frameworks.
npm install streetscape.gl # or yarn add streetscape.gl
You need Node.js and yarn to run the example app.
# Clone streetscape.gl $ git clone https://github.com/uber/streetscape.gl.git $ cd streetscape.gl # Install dependencies $ yarn bootstrap # Run example $ cd examples/get-started $ yarn $ yarn start
streetscape.gl welcomes contributions. If you have an idea, open a Github issue to get some feedback before you start implementing, to make sure that the maintainers are ready to accept it.
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Pytorch Implementation of SimGAN: Hybrid Simulator Identification for Domain Adaptation via Adversarial Reinforcement L…
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