tensorflow / model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Why this job: matched by what the repo talks about: model, quantization, toolkit, optimization
What it does
The TensorFlow Model Optimization Toolkit is a suite of tools that users, both novice and advanced, can use to optimize machine learning models for deployment and execution.
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 2 months ago
- Stars
- 1,584
- +2 this week
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v0.8.1
- Released 6 months ago
- Built with
- Python
- 82% of the code
Is it looked after?
- Contributors
- 3
- Last 90 days
- Issues
- 46% closed
- 201 still open
- Pull requests
- 595 merged
- 48 waiting
- Releases
- 22
- 1 in the last year
- Contributing guide (opens in new tab)
- Security policy (opens in new tab)
- No code of conduct
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More: languages, topics and project record
Languages
- Python 82%
- Jupyter Notebook 13%
- Starlark 4%
- Shell <1%
Topics
- tensorflow
- machine-learning
- deep-learning
- optimization
- quantized-neural-networks
- quantized-networks
- quantized-training
- keras
- model-compression
- compression
- ml
- pruning
Project record
- JobLocal LLMs
- StatusListed
- Commits857
- Forks348
- Watching110
- Stars in 28 days+5
- CreatedOct 31, 2018
- First seen by usNov 7, 2026
- CheckedNov 9, 2026