model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning. (by tensorflow)
aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models. (by qualcomm)
| model-optimization | aimet | |
|---|---|---|
| 2 | 2 | |
| 1,573 | 2,639 | |
| 0.1% | 1.4% | |
| 6.7 | 9.9 | |
| 12 days ago | 1 day ago | |
| Python | Python | |
| Apache License 2.0 | GNU General Public License v3.0 or later |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
model-optimization
Posts with mentions or reviews of model-optimization.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2025-10-19.
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95% Accurate Wake Word Detection: Low-Power CNN + MFCC Guide
TensorFlow Model Optimization Toolkit
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Need Help With Pruning Model Weights in Tensorflow 2
I have been following the example shown here, and so far I've had mixed results and wanted to ask for some help because the resources I've found online have not been able to answer some of my questions (perhaps because some of these are obvious and I am just being dumb).
aimet
Posts with mentions or reviews of aimet.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-07-14.
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I was looking for some great quantization open-source libraries that could actually be applied in production (both edge or cloud CPU/GPU). Do you know if I am missing any good libraries?
Qualcomm AIMET | Advanced quantization and compression techniques for trained neural network models
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Model/Tool to use on Jetson for efficient Quantization/Pruning
Qualcomm AIMET may help you
What are some alternatives?
When comparing model-optimization and aimet you can also consider the following projects:
deepsparse - Sparsity-aware deep learning inference runtime for CPUs
qkeras - QKeras: a quantization deep learning library for Tensorflow Keras
3d-model-convert-to-gltf - Convert 3d model (STL/IGES/STEP/OBJ/FBX) to gltf and compression
distiller - Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://intellabs.github.io/distiller
sparseml - Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models
tkDNN - Deep neural network library and toolkit to do high performace inference on NVIDIA jetson platforms