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49 search results found
Awesome Model Quantization
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1,449
A list of papers, docs, codes about model quantization. This repo is aimed to provide the info for model quantization research, we are continuously improving the project. Welcome to PR the works (papers, repositories) that are missed by the repo.
Awesome Automl And Lightweight Models
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647
A list of high-quality (newest) AutoML works and lightweight models including 1.) Neural Architecture Search, 2.) Lightweight Structures, 3.) Model Compression, Quantization and Acceleration, 4.) Hyperparameter Optimization, 5.) Automated Feature Engineering.
Deep Compression Alexnet
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599
Deep Compression on AlexNet
Tinyml Papers And Projects
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566
This is a list of interesting papers and projects about TinyML.
Awesome Deep Neural Network Compression
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475
Summary, Code for Deep Neural Network Quantization
Awesome Ml Model Compression
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378
Awesome machine learning model compression research papers, tools, and learning material.
Bmxnet
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344
(New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet
Awesome Model Compression And Acceleration
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329
a list of awesome papers on deep model ompression and acceleration
Awesome Edge Machine Learning
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200
A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
Network Speed And Compression
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176
Network acceleration methods
Great Deep Learning Tutorials
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153
A Great Collection of Deep Learning Tutorials and Repositories
Awesome Model Compression
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152
papers about model compression
Nn Compression
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122
A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)
Nstdemo
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86
A minimal example of Neural Style Transfer on iOS using CoreML
Efficient Deep Learning
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82
Related Paper of Efficient Deep Neural Networks
Model Compression
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74
This is my final year project of Bachelor of Engineering. Its still incomplete though. I am trying to replicate the research paper "Deep Compression" by Song Han et. al. This paper received best paper award in ICLR 2016
Neural Networks Quantization Notes
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51
Awesome Deeplearning Tutorials
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47
Links to useful online tutorials etc. about deep learning
Compression_paper
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44
Ultra_net
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43
FPGA-based neural network inference project for 2020 DAC System Design Contest
Qnn
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40
Tutorials on Quantized Neural Network using Tensorflow Lite
I Bert
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39
[ICML'21] I-BERT: Integer-only BERT Quantization
Calibtip
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39
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Awesome Quantization And Fixed Point Training
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35
Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design
Adabits
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31
Nemo
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27
NEural Minimizer for pytOrch
Calibtip
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25
Improving Post Training Neural Quantization: Layer-wise Calibration and Integer Programming
Model Compression Acceleration
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20
Paper list on model compression and acceleration
Auto Compression
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20
Automatic DNN compression tool with various model compression and neural architecture search techniques
Compress Net Notes
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20
Neuralzip
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19
A Out-of-box PyTorch Scaffold for Neural Network Quantization-Aware-Training (QAT) Research. Website: https://github.com/zhutmost/neuralzip
Dnnac
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18
All about acceleration and compression of Deep Neural Networks
Proxquant
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17
ProxQuant: Quantized Neural Networks via Proximal Operators
Unq
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16
Supplementary Code for Unsupervised Neural Quantization for Compressed-Domain Similarity Search
Binary Neural Networks
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14
Exploring "Binary Neural Networks" (https://arxiv.org/abs/1602.02830) in Theano. A set of experiments that use binarised weights and/or activations to reduce computational load of convolutional neural networks.
Lwnn
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14
Lightweight Neural Network
Towards Effective Low Bitwidth Convolutional Neural Networks
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14
This repository implements the paper "Effective Training of Convolutional Neural Networks with Low-bitwidth Weights and Activations"
Optimal Ternary Weights Approximation
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13
Caffe implementation of Optimal-Ternary-Weights-Approximation in "Two-Step Quantization for Low-bit Neural Networks" (CVPR2018).
Pmf
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12
Proximal Mean-field for Neural Network Quantization
Papers I Read
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12
Summaries and notes on recent Deep Learning literature
Edge Ml
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9
Quantized Tensorflow Estimator for Google EdgeTpu Accelerator, Dev Board and Intel Neural Compute Stick 2
Qsnns
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9
Quantization-aware training with spiking neural networks
Awesome Compression Papers
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7
Paper collection about model compression and acceleration: Pruning, Quantization, Knowledge Distillation, Low Rank Factorization, etc
Neural Nets Compression
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7
Neural Networks Compression (Multi-Layer Perceptron, Softmax, Autoencoder) by SVD, Sparsification, KMeans quantization and Fourier transformation
Co Design
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6
Software/Hardware Co-design for Deep Learning.
Neural Network Quatization And Compression Papers
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5
This repository gives most of the papers which are published in the domain of neural network compression and quantization
Pwlq
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5
Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks
Haxeneuquant
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5
A haxe implementation of NEUQUANT Neural-Net quantization algorithm by Anthony Dekker, 1994
Q Mann
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5
Quantized Memory-Augmented Neural Networks (AAAI-18)
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1-49 of 49 search results
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