LISTENAI/linger
a CSK serial based train tools, rely on pytorch
This tool helps AI developers optimize neural network models for embedded devices. It takes your existing PyTorch floating-point neural network models and converts them into smaller, more efficient 8-bit quantized models. AI developers working on deploying models to low-power IoT chips will find this particularly useful.
Use this if you need to reduce the size and computational requirements of your PyTorch-trained AI models for deployment on resource-constrained hardware like IoT chips, without significantly losing accuracy.
Not ideal if you are not working with PyTorch models or if your primary goal is not model quantization for embedded systems.
Stars
29
Forks
6
Language
Python
License
Apache-2.0
Category
Last pushed
Feb 06, 2026
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/LISTENAI/linger"
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