jasmcaus / caer
High-performance Vision library in Python. Scale your research, not boilerplate.
Why this job: topics: neural-network, computer-vision, image-classification, image-segmentation, deep-learning, machine-learning
What it does
Caer is a _lightweight, high-performance_ Vision library for high-performance AI research. We wrote this framework to simplify your approach towards Computer Vision by abstracting away unnecessary boilerplate code giving you the flexibility to quickly prototype deep learning models and research ideas. The end result is a library quite different in its design, that’s easy to understand, plays well with others, and is a lot of fun to use.
Get started
$ pip install --upgrade caer- Maintenance
- Active
- Last commit 18 days ago
- Stars
- 823
- +1 this week
- Licence
- MIT
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.0.3
- Released 5 years ago
- Built with
- Python
- 99% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 94% closed
- 1 still open
- Pull requests
- 56 merged
- 0 waiting
- Releases
- 13
- 0 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 and project record
Languages
- Python 99%
- Shell <1%
- Makefile <1%
Topics
- python
- vision
- artificial-intelligence
- machine-learning
- neural-network
- deep-learning
- gpu
- ai
- data-science
- image-processing
- video-processing
- caer
Project record
- JobAI libraries and models
- StatusListed
- Commits5,096
- Forks111
- Watching18
- Stars in 28 days+3
- CreatedAug 6, 2020
- First seen by usNov 7, 2026
- CheckedNov 8, 2026