NACLab / ngc-learn
NGC-Learn: Computational Neuroscience and NeuroAI in Python
Why this job: topics: neural-networks, jax, machine-learning
What it does
You can find the related paper right here, which was selected to appear in the Nature Neuromorphic Hardware and Computing Collection in 2023 and was chosen as one of the Editors' Highlights for Applied Physics and Mathematics in 2022.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 days ago
- Stars
- 214
- On GitHub
- Licence
- BSD-3-Clause
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v3.0.0
- Released 11 months ago
- Built with
- Python
- 100% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 72% closed
- 5 still open
- Pull requests
- 138 merged
- 1 waiting
- Releases
- 9
- 1 in the last year
- Contributing guide (opens in new tab)
- No security policy
- Code of conduct (opens in new tab)
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More: languages, topics, project record and preview image
Languages
- Python 100%
Topics
- brain-inspired-computing
- free-energy
- machine-learning
- neuroscience
- predictive-coding
- predictive-processing
- python
- spiking-neural-networks
- learning-algorithms
- cognitive-science
- local-learning
- computational-neuroscience
Project record
- JobAI libraries and models
- StatusListed
- Commits1,476
- Forks37
- Watching5
- Stars in 28 days+3
- CreatedApr 19, 2022
- First seen by usNov 7, 2026
- CheckedNov 8, 2026