quantized-neural-networks

larq/larq

An Open-Source Library for Training Binarized Neural Networks

google/qkeras

QKeras: a quantization deep learning library for Tensorflow Keras

hailo-ai/hailo_model_zoo

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

BUG1989/caffe-int8-convert-tools

Generate a quantization parameter file for ncnn framework int8 inference

Zhen-Dong/HAWQ

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

amirgholami/ZeroQ

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

fastmachinelearning/qonnx

QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX

EEESlab/mobilenet_v1_stm32_cmsis_nn

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

Enderdead/Pytorch_Quantize_impls

Some recent Quantizing techniques on PyTorch

megvii-research/megvii-tsinghua-dl-course

Slides with modifications for a course at Tsinghua University.

Zhen-Dong/BitPack

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

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.

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.

EEESlab/CMix-NN

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

tca19/near-lossless-binarization

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

sefaburakokcu/quantized-yolov5

Low Precision(quantized) Yolov5

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

zhaohui-yang/Binary-Neural-Networks

Binary neural networks developed by Huawei Noah's Ark Lab

LISTENAI/linger

a CSK serial based train tools， rely on pytorch

yashkant/quantized-nets

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

anderspkd/SecureQ8

Input scripts for securely evaluating quantized ImageNet models with mp-spdz

UIC-InDeXLab/RSR

An Efficient Matrix Multiplication Algorithm for Accelerating Inference in Binary and Ternary Neural Networks

mobilint/mblt-model-zoo

Mobilint Model Zoo Project

kartikgupta-at-anu/md-bnn

Code implementation of our AISTATS'21 paper "Mirror Descent View for Neural Network Quantization"

mspallanzani/QuantLab

yashkant/enas-quantized-nets

Efficient Neural Architecture Search coupled with Quantized CNNs to search for resource efficient and accurate architectures.

akashlevy/RRAM-Stuck-At-NN-Modeling

Modeling stuck-at faults for RRAM inference on popular neural networks after quantization

alessandrocapotondi/MobileNet_v1_x_cube_ai_4.1.0

Mobilenet v1 (3,160,160, alpha=0.25, and 3,192,192, alpha=0.5) on STM32H7 using X-CUBE-AI v4.1.0

McDonnell-Research-Lab/DCASE2020_Task1b

DCASE 2020 Challenge Task 1B - Low-Complexity Acoustic Scene Classification

kartikgupta-at-anu/attack-bnn

Code implementation of our AAAI'22 paper "Improved Gradient-Based Adversarial Attacks for Quantized Networks"

anderspkd/tf_train_quantized

Quantized training using Keras

heydarimo/VQ-VAE

In this project, we have implemented the VQ-VAE algorithm on both MNIST and CIFAR10 datasets considering MSELOSS and also NLLLOSE.

Loki-Silvres/Autonomous-Driving-B3RB-buggy

Autonomous Driving project for exploration of robotic perception, sensor fusion and autonomous navigation.

b1shtream/Accelerating_DNNs_On_FPGAs_Papers

Curated list of Deep Neural Networks on FPGAs research papers

cedard234/Grayscale_Verilog_Converter

A python-based utility to convert a grayscale image into verilog code.