Skip to main content

NeuGym

NeuGym is a Python package for reinforcement learning environment of animal behavior modeling, which is still under development.

Install

Install the current release of NeuGym with pip:

$ pip install neugym

For more installing options please refer to Install.

Citation

If you find this code useful for your research, please cite:

@misc{HaoZhu10015_2022_NeuGym,
  author = {Hao Zhu},
  title = {NeuGym},
  year = {2022},
  publisher = {GitHub},
  journal = {GitHub repository},
  howpublished = {\url{https://github.com/HaoZhu10015/neugym}},
}

Code of conduct

Anyone who interacts with this software in any space, including but not limited to this GitHub repository, must follow our code of conduct.

Release files for neugym 0.1.4

For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.

Source distribution (sdist)

Source distribution for neugym 0.1.4
File Size Uploaded
neugym-0.1.4.tar.gz 15.0 kB Details

Built distribution (wheel)

Table of built distributions (wheels) for neugym 0.1.4
File Interpreter ABI Platform
neugym-0.1.4-py3-none-any.whl Python 3 none any Details

Total release size: 31.6 kB

Release files / neugym-0.1.4.tar.gz

Download URL neugym-0.1.4.tar.gz
Size 15.0 kB
Tags Source
SHA-256 checksum
How to use checksums
6d5b32f60dea2044aaa0a5357669fdacd991c5effdec08e5db4693341cbaf471
BLAKE2b-256 checksum
How to use checksums
e734b77d2e96bdffcd8cc0f9855356f53950e0a196c11dd2c2123f7807831e3a
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.10.4

Release files / neugym-0.1.4-py3-none-any.whl

Download URL neugym-0.1.4-py3-none-any.whl
Size 16.6 kB
Tags Python 3
SHA-256 checksum
How to use checksums
ee6ee07b89566687636eb84ef09e33346427d74b4440d82f83fb6207796cf5ac
BLAKE2b-256 checksum
How to use checksums
ef7daee2e1d941e57b73f0c5ba42983ce4a630166e1ee9b14a9671d4955ec8ae
Upload date
Uploaded using Trusted Publishing?
What is trusted publishing?
No
Uploaded via twine/4.0.1 CPython/3.10.4

Release history Release notifications | RSS feed

This release

0.1.4 This release

2 release files

0.1.3

2 release files

0.1.2

2 release files

Anthropic, PBC Visionary sponsor Bloomberg Visionary sponsor Hudson River Trading Visionary sponsor Meta Visionary sponsor NVIDIA Visionary sponsor Microsoft Sustainability sponsor Depot Continuous Integration AWS Cloud computing and Security Sponsor Datadog Monitoring Fastly CDN Google Download Analytics Sentry Error logging StatusPage Status page