quantized-neural-networks

Here are 17 public repositories matching this topic...

tensorflow / model-optimization

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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 Nov 25, 2020
Python

BUG1989 / caffe-int8-convert-tools

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Generate a quantization parameter file for ncnn framework int8 inference

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

Updated Jul 29, 2020
Python

larq / larq

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Open

RFC: Use type hints in larq source code

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

RFC RFC - accepted good first issue internal-improvement

google / qkeras

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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 Nov 25, 2020
Python

amirgholami / ZeroQ

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[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

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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

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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

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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