11 results found Sort:
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Created
2018-10-31
834 commits to master branch, last one 5 days ago
An Open-Source Library for Training Binarized Neural Networks
Created
2019-03-18
736 commits to main branch, last one 4 months ago
QKeras: a quantization deep learning library for Tensorflow Keras
Created
2019-08-06
439 commits to master branch, last one about a month ago
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
Created
2020-11-24
48 commits to main branch, last one about a year ago
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
Created
2021-07-13
625 commits to master branch, last one about a month ago
[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
Created
2019-11-20
21 commits to master branch, last one 4 years ago
QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
Created
2021-07-07
674 commits to main branch, last one a day ago
Slides with modifications for a course at Tsinghua University.
Created
2022-05-25
27 commits to main branch, last one 2 years ago
BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
Created
2021-02-08
19 commits to main branch, last one about a year ago
This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contraints of the target device.
Created
2019-06-12
3 commits to master branch, last one 5 years ago
[NeurIPS 2023 Spotlight] This project is the official implementation of our accepted NeurIPS 2023 (spotlight) paper QuantSR: Accurate Low-bit Quantization for Efficient Image Super-Resolution.
Created
2023-10-19
3 commits to main branch, last one 7 months ago