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post-training-quantization

Here are 9 public repositories matching this topic...

666DZY666 / micronet

micronet, a model compression and deploy lib. compression: 1、quantization: quantization-aware-training(QAT), High-Bit(>2b)(DoReFa/Quantization and Training of Neural Networks for Efficient Integer-Arithmetic-Only Inference)、Low-Bit(≤2b)/Ternary and Binary(TWN/BNN/XNOR-Net); post-training-quantization(PTQ), 8-bit(tensorrt); 2、 pruning: normal、regular and group convolutional channel pruning; 3、 group convolution structure; 4、batch-normalization fuse for quantization. deploy: tensorrt, fp32/fp16/int8(ptq-calibration)、op-adapt(upsample)、dynamic_shape

pytorch pruning convolutional-networks quantization xnor-net tensorrt model-compression bnn neuromorphic-computing group-convolution onnx network-in-network tensorrt-int8-python dorefa twn network-slimming integer-arithmetic-only quantization-aware-training post-training-quantization batch-normalization-fuse

Updated Oct 6, 2021
Python

intel / neural-compressor

Intel® Neural Compressor (formerly known as Intel® Low Precision Optimization Tool), targeting to provide unified APIs for network compression technologies, such as low precision quantization, sparsity, pruning, knowledge distillation, across different deep learning frameworks to pursue optimal inference performance.

sparsity deep-learning pruning quantization knowledge-distillation auto-tuning low-precision quantization-aware-training post-training-quantization

Updated Jun 4, 2022
Python

sayakpaul / Adventures-in-TensorFlow-Lite

This repository contains notebooks that show the usage of TensorFlow Lite for quantizing deep neural networks.

inference pruning tensorflow-lite tensorflow-2 on-device-ml tf-hub model-quantization model-optimization quantization-aware-training post-training-quantization tf-lite-model

Updated May 19, 2022
Jupyter Notebook

megvii-research / FQ-ViT

[IJCAI 2022] FQ-ViT: Post-Training Quantization for Fully Quantized Vision Transformer

pytorch imagenet quantization post-training-quantization vision-transformer

Updated May 31, 2022
Python

Sanjana7395 / static_quantization

Post-training static quantization using ResNet18 architecture

pytorch mnist-classification quantization resnet-18 post-training-quantization floatfunctional fbgemm float32-to-int8 reduce-inference-time reduce-memory-storage

Updated Aug 1, 2020
Jupyter Notebook

KwangHoonAn / Quantizations

quantization dfq post-training-quantization data-free-quantization

Updated Apr 6, 2021
Python

likholat / openvino_quantization

This sample shows how to convert TensorFlow model to OpenVINO IR model and how to quantize OpenVINO model.

tensorflow quantization model-acceleration openvino model-optimizer model-conversion post-training-quantization

Updated Dec 9, 2020
Python

zysxmu / FDDA

Pytorch implementation of our paper -- Fine-grained Data Distribution Alignment for Post-Training Quantization

acceleration compression post-training-quantization

Updated Mar 5, 2022
Python

generalMG / Medical-Dataset-Deep-Learning-Quantization-Data-Analysis

The repository discusses a research work published on MDPI Sensors and provides details about the project.

image-processing data-visualization classification data-analysis point-of-care medical-image-processing edge-device post-training-quantization

Updated May 1, 2022
Python

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