quantized-neural-network
Here are 6 public repositories matching this topic...
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
- Updated
Jun 19, 2021
Code for "Quantized Densely Connected U-Nets for Efficient Landmark Localization" (ECCV 2018) and "CU-Net: Coupled U-Nets" (BMVC 2018 oral)
- Updated
Aug 16, 2021 - Python
Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
- Updated
Mar 6, 2020 - C
INT-Q Extension of the CMSIS-NN library for ARM Cortex-M target
- Updated
Jan 10, 2020 - C
- Updated
Jul 31, 2018 - Python
Quantized Neural Networks - networks trained for inference at arbitrary low precision.
- Updated
Nov 28, 2017 - Python
Improve this page
Add a description, image, and links to thequantized-neural-network topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with thequantized-neural-network topic, visit your repo's landing page and select "manage topics."