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quantized-neural-networks

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tensorflow /model-optimization

A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.

machine-learning sparsity compression deep-learning tensorflow optimization keras ml pruning quantization model-compression quantized-training quantized-neural-networks quantized-networks

UpdatedJul 7, 2025
Python

larq

larq /larq

An Open-Source Library for Training Binarized Neural Networks

python machine-learning binder deep-learning tensorflow keras binarized-neural-networks quantized-neural-networks larq

UpdatedAug 12, 2024
Python

google /qkeras

QKeras: a quantization deep learning library for Tensorflow Keras

machine-learning fpga deep-learning tensorflow accelerator keras quantization hardware-acceleration fpga-accelerator quantized-neural-networks asic-design quantized-networks

UpdatedJun 13, 2025
Python

BUG1989 /caffe-int8-convert-tools

Generate a quantization parameter file for ncnn framework int8 inference

caffe ncnn deeplearning-ai quantized-neural-networks int8-inference

UpdatedJul 29, 2020
Python

hailo-ai /hailo_model_zoo

The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment

computer-vision deep-learning quantization hailo quantized-neural-networks edge-ai ai-accelerators hailo8

UpdatedJul 11, 2025
Python

Zhen-Dong /HAWQ

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

pytorch quantization hessian 8-bit model-compression distillation tvm 4-bit mixed-precision tensorcore quantized-neural-networks hardware-aware efficient-neural-networks

UpdatedMay 15, 2023
Python

amirgholami /ZeroQ

[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework

compression quantization quantized-neural-networks efficient-model efficient-neural-networks

UpdatedDec 8, 2023
Python

fastmachinelearning /qonnx

QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX

machine-learning fpga deep-learning inference quantization onnx quantized-neural-networks

UpdatedJun 27, 2025
Python

EEESlab /mobilenet_v1_stm32_cmsis_nn

Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support

deep-neural-networks neural-network tensorflow stm32 cnn imagenet deeplearning convolutional-neural-networks cortex-m7 arm-cortex-m7 imagenet-classifier edge-computing mobilenet cmsis-nn quantized-neural-network qnn low-power-mcu quantized-neural-networks pythorch

UpdatedMar 6, 2020
C

Enderdead /Pytorch_Quantize_impls

Some recent Quantizing techniques on PyTorch

python3 pytorch binarization binarized-neural-networks quantized-neural-networks

UpdatedSep 8, 2019
Python

megvii-research /megvii-tsinghua-dl-course

Slides with modifications for a course at Tsinghua University.

deep-learning quantized-neural-networks image-signal-processing

UpdatedAug 17, 2022

Zhen-Dong /BitPack

BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.

memory pytorch quantization model-compression mixed-precision quantized-neural-networks

UpdatedFeb 7, 2023
Python

mrusci /training-mixed-precision-quantized-networks

This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contraints of the target device.

pytorch integer-arithmetic qnn low-power-mcu quantized-neural-networks edge-ai mixed-precision-training

UpdatedMay 9, 2024
Python

htqin /QuantSR

[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.

super-resolution quantized-neural-networks model-quantization

UpdatedMay 13, 2024
Python

tca19 /near-lossless-binarization

This repository contains source code to binarize any real-value word embeddings into binary vectors.

word-embeddings autoencoder binarization wordembeddings quantized-neural-networks binary-word-embeddings binary-word-vectors

UpdatedJan 7, 2021
C

EEESlab /CMix-NN

CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices

iot arm stm32 inference cnn cmsis stm32f4 stm32f7 arm-cortex-m7 stm32l4 edge-computing stm32h7 mixed-precision cmsis-nn arm-cortex-m4 quantized-neural-networks edge-ai tinyml

UpdatedMar 19, 2020
C

sefaburakokcu /quantized-yolov5

Low Precision(quantized) Yolov5

fpga yolov1 finn low-precision quantized-neural-networks pynq-z2 brevitas yolov5

UpdatedMar 24, 2025
Python

McDonnell-Research-Lab /1-bit-per-weight

Training wide residual networks for deployment using a single bit for each weight - Official Code Repository for ICLR 2018 Published Paper

image-classification residual-networks quantized-neural-networks

UpdatedMay 27, 2020
Jupyter Notebook

zhaohui-yang /Binary-Neural-Networks

Binary neural networks developed by Huawei Noah's Ark Lab

convolutional-neural-networks binary-neural-networks quantized-neural-networks

UpdatedFeb 19, 2021
Python

yashkant /quantized-nets

Contains code for Binary, Ternary, N-bit Quantized and Hybrid CNNs for low precision experiments.

binarized-neural-networks quantized-neural-networks ternarized-neural-networks

UpdatedOct 30, 2018
Python

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