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Search results for convolutional neural networks compression
compression
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convolutional-neural-networks
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9 search results found
Hdrcnn
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448
HDR image reconstruction from a single exposure using deep CNNs
Image Compression Cnn
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261
Semantic JPEG image compression using deep convolutional neural network (CNN)
Lq Nets
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230
LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks
Deep K Means Pytorch
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148
[ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"
Model Quantization
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116
Collections of model quantization algorithms
Shiftresnet Cifar
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92
ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch
Deepzip
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91
NN based lossless compression
Tf2
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74
An Open Source Deep Learning Inference Engine Based on FPGA
Imagecompression
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58
This is the codes for paper "Learning Convolutional Networks for Content-weighted Image Compression"
Keras_model_compression
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55
Model Compression Based on Geoffery Hinton's Logit Regression Method in Keras applied to MNIST 16x compression over 0.95 percent accuracy.An Implementation of "Distilling the Knowledge in a Neural Network - Geoffery Hinton et. al"
Decompose Cnn
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50
CP and Tucker decomposition for Convolutional Neural Networks
Prunnable Layers Pytorch
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43
Prunable nn layers for pytorch.
Kse
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36
Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression
Artn
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26
Reduction of Video Compression Artifacts Based on Deep Temporal Networks (IEEE Access, 2018)
Compress Net Notes
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20
Ml Assignments
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16
ML assignments, about Regression, Classification, CNN, RNN, Explainable AI, Adversarial Attack, Network Compression, Seq2Seq, GAN, Transfer Learning, Meta Learning, Life-long Learning, Reforcement Learning. It will be challenging but cheerful work!
Npeg
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13
Neural Network Image Compression
Arcnn Pytorch
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12
PyTorch implementation of Deep Convolution Networks for Compression Artifacts Reduction (ICCV 2015)
Quantized_resnet
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11
This repo is an implementation of quantized CNN for both weights (1-bit compression) and feature maps (2-bit compression).
Paper Collection Of Efficient Ml
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9
paper collection
Bandlimited Cnns
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8
Band-limited Training and Inference for Convolutional Neural Networks
Efficient Cnn Depth Compression
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7
Official PyTorch implementation of "Efficient Latency-Aware CNN Depth Compression via Two-Stage Dynamic Programming" (ICML'23)
Cnn_compression
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7
Code repository for our paper "Coreset-Based Neural Network Compression", published in ECCV 2018
Paper Summary
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6
A Summary and notes about the papers I have read.
Cnn_compression_rank_selection_bayesopt
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6
Bayesian Optimization-Based Global Optimal Rank Selection for Compression of Convolutional Neural Networks, IEEE Access
Compression_artifact
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6
This was a part of my summer internship, in which i have to reduce compression artifact for this purpose i have used ARCNN architecture.
Hsi Toolbox
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6
Hyperspectral CNN compression and band selection
Neuralnetwork Jpeg
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6
Convolutional Neural Network (CNN) Image Compression
Hdr Reconstruction Using Deep Learning
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6
Reconstruction of images making them HDR using deep learning
Spec Img Finesse
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5
Project for Machine Learning and Physical Applications Class - Hyperspectral image classification using SVM, and CNN with layer pruning and layer compression.
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