qualcomm / aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Why this job: works in the areas we cover, but does not say which job it does
What it does
- *Spatial SVD*. Tensor decomposition technique to split a large layer into two smaller ones
- *Channel Pruning*. Removes redundant input channels from a layer and reconstructs layer weights
- *Per-layer compression-ratio selection*. Automatically selects how much to compress each layer in the model
- *Weight ranges*. Inspect visually if a model is a candidate for applying the Cross Layer Equalization technique. And the effect after applying the technique
- *Per-layer compression sensitivity*. Visually get feedback about the sensitivity of any given layer in the model to compression
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit today
- Stars
- 2,747
- +4 this week
- Licence
- Custom
- Read before business use
- Downloads for
- 2 systems
- Mac, Linux
- Latest version
- 2.43.0
- Released 13 days ago
- Built with
- Python
- 96% of the code
Is it looked after?
- Contributors
- 12
- Last 90 days
- Issues
- 98% closed
- 30 still open
- Pull requests
- 2,348 merged
- 10 waiting
- Releases
- 84
- 28 in the last year
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More: download files, languages, topics and project record
Download files, 2.43.0
- Mac1 file, 7 downloads
- Linux1 file, 15 downloads
Languages
- Python 96%
- C++ 3%
- CMake <1%
- Shell <1%
Topics
- quantization
- deep-learning
- compression
- open-source
- machine-learning
- pruning
- auto-ml
- network-compression
- deep-neural-networks
- network-quantization
- opensource
Project record
- JobOther AI tools
- StatusListed
- Commits4,379
- Forks478
- Watching46
- Stars in 28 days+21
- CreatedApr 21, 2020
- First seen by usNov 7, 2026
- CheckedNov 12, 2026
