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Amazon
- Seattle, WA
- rystrauss.github.io
- https://orcid.org/0000-0001-5179-665X
Highlights
- Pro
Stars
C++-based high-performance parallel environment execution engine (vectorized env) for general RL environments.
โก Flashbax: Accelerated Replay Buffers in JAX
Massively parallel rigidbody physics simulation on accelerator hardware.
๐น๏ธ A diverse suite of scalable reinforcement learning environments in JAX
A playbook for systematically maximizing the performance of deep learning models.
A standard API for single-agent reinforcement learning environments, with popular reference environments and related utilities (formerly Gym)
Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more
Scenic: A Jax Library for Computer Vision Research and Beyond
Rich is a Python library for rich text and beautiful formatting in the terminal.
Modular framework for Reinforcement Learning in python
Simple, powerful, and fast logging for Python.
ML Collections is a library of Python Collections designed for ML use cases.
Matplotlib styles for scientific plotting
๐ Save matplotlib figures as TikZ/PGFplots for smooth integration into LaTeX.
Convert LaTeX documents into beautiful responsive web pages using LaTeXML.
arXiv LaTeX Cleaner: Easily clean the LaTeX code of your paper to submit to arXiv
Gin provides a lightweight configuration framework for Python
Modin: Scale your Pandas workflows by changing a single line of code
OpenSpiel is a collection of environments and algorithms for research in general reinforcement learning and search/planning in games.
A Hyperparameter Tuning Library for Keras
A library of reinforcement learning components and agents