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quantized-neural-networks

Here are 24 public repositories matching this topic...

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

Updated May 16, 2022
Python

larq

larq / larq

Open

RFC: Use type hints in larq source code

8

lgeiger commented Nov 7, 2019

Objective

Python 3.6 and above supports type hints and optional statically typing of Python code. Since its introduction is has seen a lot of adoption in many Python projects in particular in larger code bases. Type hints are completely optional and are stripped by the Python parser before runtime.

I am not the only one @plumerai anymore who li

Read more

good first issue internal-improvement RFC RFC - accepted

BUG1989 / caffe-int8-convert-tools

Generate a quantization parameter file for ncnn framework int8 inference

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

Updated Jul 29, 2020
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

Updated Apr 27, 2022
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

Updated May 8, 2021
Python

amirgholami / ZeroQ

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

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

Updated Sep 17, 2020
Python

Enderdead / Pytorch_Quantize_impls

Some recent Quantizing techniques on PyTorch

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

Updated Sep 8, 2019
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

Updated Mar 6, 2020
C

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

Updated Jun 14, 2019
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

Updated Jan 7, 2021
C

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

Updated Feb 10, 2021
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

Updated May 10, 2022
Python

zhaohui-yang / Binary-Neural-Networks

Binary neural networks developed by Huawei Noah's Ark Lab

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

Updated Feb 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

Updated Oct 30, 2018
Python

anderspkd / SecureQ8

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

tensorflow secure mpc imagenet quantized-neural-networks mp-spdz

Updated Oct 6, 2020
Python

spallanzanimatteo / QuantLab

machine-learning artificial-intelligence quantized-neural-networks

Updated Aug 6, 2020
Shell

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

Updated Jul 26, 2019
Python

kartikgupta-at-anu / md-bnn

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

network-compression binarized-neural-networks quantized-neural-networks mirror-descent

Updated Feb 19, 2021
Python

yashkant / ENAS-Quantized-Neural-Networks

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

tensorflow keras automl neural-architecture-search enas quantized-neural-networks

Updated Jan 14, 2019
Python

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

deep-neural-networks neural-network stm32 cnn imagenet mcu cortex-m7 edge-classification stmcubemx edge-computing mobilenet stm32h7 tflite stm32h743zi quantized-neural-networks edge-ai cubemxai

Updated Oct 31, 2019
C

anderspkd / tf_train_quantized

Quantized training using Keras

python tensorflow quantization quantized-neural-networks

Updated Jun 22, 2019
Python

qnn

stracini-git / qnn

Training neural nets with quantized weights on arbitrarily specified bit-depth

mnist lenet quantization cifar10 binary-neural-networks quantized-neural-networks resnet18 quantization-algorithms quantization-aware-training

Updated May 7, 2021
Python

kartikgupta-at-anu / attack-bnn

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

pgd adversarial-attacks binarized-neural-networks quantized-neural-networks

Updated May 6, 2022
Python

harsh306 / ml-engg

MACHINE LEARNING AND DEEP LEARNING ENGG SKILLS

text best-practices multiprocessing image-processing pre-processing mlflow quantized-neural-networks engg

Updated Nov 27, 2020
Python

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