quantized-neural-networks

There are 7 repositories under quantized-neural-networks topic.

tensorflow / model-optimization
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
tensorflow machine-learning deep-learning optimization quantized-neural-networks quantized-networks quantized-training keras model-compression compression ml pruning sparsity quantization
Language:Python 1558
larq
larq / larq
An Open-Source Library for Training Binarized Neural Networks
binarized-neural-networks binder deep-learning keras larq machine-learning python quantized-neural-networks tensorflow
Language:Python 718
google / qkeras
QKeras: a quantization deep learning library for Tensorflow Keras
accelerator asic-design deep-learning fpga fpga-accelerator hardware-acceleration keras machine-learning quantization quantized-networks quantized-neural-networks tensorflow
Language:Python 578
hailo-ai / hailo_model_zoo
The Hailo Model Zoo includes pre-trained models and a full building and evaluation environment
ai-accelerators computer-vision deep-learning edge-ai hailo hailo8 quantization quantized-neural-networks
Language:Python 523
BUG1989 / caffe-int8-convert-tools
Generate a quantization parameter file for ncnn framework int8 inference
caffe deeplearning-ai int8-inference ncnn quantized-neural-networks
Language:Python 517
Zhen-Dong / HAWQ
Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.
quantization tvm model-compression distillation quantized-neural-networks pytorch hardware-aware mixed-precision efficient-neural-networks 8-bit 4-bit tensorcore hessian
Language:Python 451
amirgholami / ZeroQ
[CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework
compression efficient-model efficient-neural-networks quantization quantized-neural-networks
Language:Python 280
fastmachinelearning / qonnx
QONNX: Arbitrary-Precision Quantized Neural Networks in ONNX
deep-learning fpga inference machine-learning onnx quantization quantized-neural-networks
Language:Python 164
EEESlab / mobilenet_v1_stm32_cmsis_nn
Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
stm32 cmsis-nn edge-computing neural-network mobilenet convolutional-neural-networks quantized-neural-network quantized-neural-networks deep-neural-networks deeplearning imagenet-classifier imagenet cortex-m7 arm-cortex-m7 tensorflow pythorch qnn cnn low-power-mcu
Language:C 88
Enderdead / Pytorch_Quantize_impls
Some recent Quantizing techniques on PyTorch
pytorch python3 binarized-neural-networks binarization quantized-neural-networks
Language:Python 72
megvii-research / megvii-tsinghua-dl-course
Slides with modifications for a course at Tsinghua University.
deep-learning image-signal-processing quantized-neural-networks
62
Zhen-Dong / BitPack
BitPack is a practical tool to efficiently save ultra-low precision/mixed-precision quantized models.
memory mixed-precision model-compression pytorch quantization quantized-neural-networks
Language:Python 57
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.
model-quantization quantized-neural-networks super-resolution
Language:Python 51
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.
edge-ai integer-arithmetic low-power-mcu mixed-precision-training pytorch qnn quantized-neural-networks
Language:Python 50
EEESlab / CMix-NN
CMix-NN: Mixed Low-Precision CNN Library for Memory-Constrained Edge Devices
cnn quantized-neural-networks mixed-precision inference tinyml edge-computing edge-ai iot cmsis-nn cmsis stm32 stm32h7 stm32f7 stm32l4 stm32f4 arm arm-cortex-m4 arm-cortex-m7
Language:C 48
tca19 / near-lossless-binarization
This repository contains source code to binarize any real-value word embeddings into binary vectors.
word-embeddings wordembeddings quantized-neural-networks autoencoder binary-word-embeddings binarization binary-word-vectors
Language:C 47
sefaburakokcu / quantized-yolov5
Low Precision(quantized) Yolov5
brevitas finn fpga low-precision pynq-z2 quantized-neural-networks yolov1 yolov5
Language:Python 43
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 quantized-neural-networks residual-networks
Language:Jupyter Notebook 36
zhaohui-yang / Binary-Neural-Networks
Binary neural networks developed by Huawei Noah's Ark Lab
binary-neural-networks convolutional-neural-networks quantized-neural-networks
Language:Python 29
LISTENAI / linger
a CSK serial based train tools， rely on pytorch
deep-learning pytorch quantized-neural-networks
Language:Python 26
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
Language:Python 25
anderspkd / SecureQ8
Input scripts for securely evaluating quantized ImageNet models with mp-spdz
imagenet mp-spdz mpc quantized-neural-networks secure tensorflow
Language:Python 19
UIC-InDeXLab / RSR
An Efficient Matrix Multiplication Algorithm for Accelerating Inference in Binary and Ternary Neural Networks
deep-neural-networks llm matrix-multiplication quantized-neural-networks
Language:Jupyter Notebook 16
mobilint / mblt-model-zoo
Mobilint Model Zoo Project
ai-accelerators edge-ai quantization mobilint computer-vision quantized-neural-networks transformer
Language:Python 12
kartikgupta-at-anu / md-bnn
Code implementation of our AISTATS'21 paper "Mirror Descent View for Neural Network Quantization"
binarized-neural-networks mirror-descent network-compression quantized-neural-networks
Language:Python 7
mspallanzani / QuantLab
artificial-intelligence machine-learning quantized-neural-networks
Language:Shell 7
yashkant / enas-quantized-nets
Efficient Neural Architecture Search coupled with Quantized CNNs to search for resource efficient and accurate architectures.
enas keras tensorflow neural-architecture-search quantized-neural-networks automl
Language:Python 5
akashlevy / RRAM-Stuck-At-NN-Modeling
Modeling stuck-at faults for RRAM inference on popular neural networks after quantization
neural-network tensorflow keras keras-tensorflow quantized-neural-networks
Language:Python 4
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
stm32 stmcubemx edge-computing neural-network cubemxai mobilenet deep-neural-networks imagenet cortex-m7 stm32h7 stm32h743zi cnn tflite quantized-neural-networks mcu edge-ai edge-classification
Language:C 4
McDonnell-Research-Lab / DCASE2020_Task1b
DCASE 2020 Challenge Task 1B - Low-Complexity Acoustic Scene Classification
acoustic-scene-classification quantized-neural-networks
Language:Jupyter Notebook 4
kartikgupta-at-anu / attack-bnn
Code implementation of our AAAI'22 paper "Improved Gradient-Based Adversarial Attacks for Quantized Networks"
adversarial-attacks binarized-neural-networks pgd quantized-neural-networks
Language:Python 3
anderspkd / tf_train_quantized
Quantized training using Keras
tensorflow quantized-neural-networks quantization python
Language:Python 2
heydarimo / VQ-VAE
In this project, we have implemented the VQ-VAE algorithm on both MNIST and CIFAR10 datasets considering MSELOSS and also NLLLOSE.
latent-space quantized-neural-networks unsupervised-learning variational-autoencoder
Language:Jupyter Notebook 2
Loki-Silvres / Autonomous-Driving-B3RB-buggy
Autonomous Driving project for exploration of robotic perception, sensor fusion and autonomous navigation.
autonomous-driving computer-vision deep-learning lane-detection mathematical-modelling npu opencv-python quantized-neural-networks ros2-humble sensor-fusion slam traffic-sign-detection yolo
Language:Python 2
b1shtream / Accelerating_DNNs_On_FPGAs_Papers
Curated list of Deep Neural Networks on FPGAs research papers
binary-neural-networks deep-neural-networks dnn-optimization efficient-inference fpga quantized-neural-networks reconfigurable-computing reconfigurable-networks
1
cedard234 / Grayscale_Verilog_Converter
A python-based utility to convert a grayscale image into verilog code.
accelerator cnn cv fpga grayscale image-processing quantized-neural-networks verilog
Language:Python 1

quantized-neural-networks

tensorflow / model-optimization

larq / larq

google / qkeras

hailo-ai / hailo_model_zoo

BUG1989 / caffe-int8-convert-tools

Zhen-Dong / HAWQ

amirgholami / ZeroQ

fastmachinelearning / qonnx

EEESlab / mobilenet_v1_stm32_cmsis_nn

Enderdead / Pytorch_Quantize_impls

megvii-research / megvii-tsinghua-dl-course

Zhen-Dong / BitPack

htqin / QuantSR

mrusci / training-mixed-precision-quantized-networks

EEESlab / CMix-NN

tca19 / near-lossless-binarization

sefaburakokcu / quantized-yolov5

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

zhaohui-yang / Binary-Neural-Networks

LISTENAI / linger

yashkant / quantized-nets

anderspkd / SecureQ8

UIC-InDeXLab / RSR

mobilint / mblt-model-zoo

kartikgupta-at-anu / md-bnn

mspallanzani / QuantLab

yashkant / enas-quantized-nets

akashlevy / RRAM-Stuck-At-NN-Modeling

alessandrocapotondi / MobileNet_v1_x_cube_ai_4.1.0

McDonnell-Research-Lab / DCASE2020_Task1b

kartikgupta-at-anu / attack-bnn

anderspkd / tf_train_quantized

heydarimo / VQ-VAE

Loki-Silvres / Autonomous-Driving-B3RB-buggy

b1shtream / Accelerating_DNNs_On_FPGAs_Papers

cedard234 / Grayscale_Verilog_Converter