SonySemiconductorSolutions / mct-model-optimization
Model Compression Toolkit (MCT) is an open source project for neural network model optimization under efficient, constrained hardware. This project provides researchers, developers, and engineers advanced quantization and compression tools for deploying state-of-the-art neural networks.
Why this job: topics: quantization, edge-ai
What it does
- Data-free quantization (Data Generation) [](https://colab.research.google.com/github/SonySemiconductorSolutions/mct-model-optimization/blob/main/tutorials/notebooks/mct_features_notebooks/pytorch/example_pytorch_data_generation.ipynb)
- Structured Pruning [](https://colab.research.google.com/github/SonySemiconductorSolutions/mct-model-optimization/blob/main/tutorials/notebooks/mct_features_notebooks/pytorch/example_pytorch_pruning_mnist.ipynb)
Get started
No single install command. Read the steps in the README (opens in new tab)
- Maintenance
- Active
- Last commit 5 days ago
- Stars
- 450
- On GitHub
- Licence
- Apache-2.0
- Allows business use
- Downloads for
- None listed
- No release files
- Latest version
- v2.6.1
- Released 53 days ago
- Built with
- Python
- 83% of the code
Is it looked after?
- Contributors
- Not stated
- Last 90 days
- Issues
- 97% closed
- 4 still open
- Pull requests
- 1,341 merged
- 1 waiting
- Releases
- 34
- 5 in the last year
- Contributing guide (opens in new tab)
- No security policy
- No code of conduct
More: languages, topics and project record
Languages
- Python 83%
- Jupyter Notebook 17%
- Shell <1%
- Makefile <1%
Topics
- deep-learning
- quantization
- network-compression
- network-quantization
- deep-neural-networks
- machine-learning
- edge-ai
- neural-network
- optimizer
- ptq
- pytorch
- qat
Project record
- JobLocal LLMs
- StatusListed
- Commits1,486
- Forks81
- Watching18
- Stars in 28 days0
- CreatedJun 21, 2021
- First seen by usNov 7, 2026
- CheckedNov 8, 2026