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Search results for tensorflow compression
compression
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tensorflow
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31 search results found
Model Optimization
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1,445
A toolkit to optimize ML models for deployment for Keras and TensorFlow, including quantization and pruning.
Compression
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796
Data compression in TensorFlow
Nncf
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725
Neural Network Compression Framework for enhanced OpenVINO™ inference
Generative Compression
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397
TensorFlow Implementation of Generative Adversarial Networks for Extreme Learned Image Compression
Fast Semantic Segmentation
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184
ICNet and PSPNet-50 in Tensorflow for real-time semantic segmentation
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 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
Tensorflow Compress
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73
Data compression using LSTM in TensorFlow
Jpeg Defense
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65
SHIELD: Fast, Practical Defense and Vaccination for Deep Learning using JPEG Compression
Rlvc
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49
Tensorflow Graph Compression
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39
Compress graph files for tensorflow.
Image Compression Benchmarking
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36
Image compression codecs benchmark inspired by Google's "Full Resolution Image Compression with Recurrent Neural Networks"
Tfzip
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28
An experimental compression pipeline for TensorFlow.
Pcc_geo_cnn_v2
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26
Improved Deep Point Cloud Geometry Compression
Pcc_geo_cnn
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24
Learning Convolutional Transforms for Point Cloud Geometry Compression
Dsin
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21
Deep Image Compression using Decoder Side Information (ECCV 2020)
Convdraw
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17
DeepMind’s ConvDRAW: “Towards Conceptual Compression” (NIPS 2016) with TensorFlow.
Shallow Ntc
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16
Official code for "Computationally-Efficient Neural Image Compression with Shallow Decoders", ICCV 2023
Joint Autoregressive And Hierarchical Priors For Learned Image Compression
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13
A personal reimplementation with TensorFlow of NIPS2018 paper: Joint Autoregressive and Hierarchical Priors for Learned Image Compression
Dpq_embedding_compression
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13
Differentiable Product Quantization for End-to-End Embedding Compression.
Point Cloud Compression
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12
Implements a deep RNN based Point Cloud Compression approach for Velodyne Point Clouds. Reference implementation of corresponding IEEE IV22 paper.
Video Compression Net
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12
A new approach to video compression by refining the shortcomings of conventional approach and substituting each traditional component with their neural network counterpart. Our proposed work consists of motion estimation, compression and compensation and residue compression, learned end-to-end to minimize the rate-distortion trade off. The whole model is jointly optimized using a single loss function. Our work is based on a standard method to exploit the spatio-temporal redundancy in video frame
Squeezenet
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11
SqueezeNet in Tensorflow
Deep Network Compression Based On Student Teacher Network
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10
Deep Neural Network Compression based on Student-Teacher Network
Comdefend_tensorflow
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10
A tensorflow implementation and improvement of CVPR 2019 paper 'ComDefend'.
Residual Rnn
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8
A Tensorflow implementation of the paper "Full Resolution Image Compression with Recurrent Neural Networks" (Residual RNN)
Pcc_attr_folding
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7
Folding-based compression of point cloud attributes
Model Compression And Acceleration
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7
Model Compression and Acceleration.
Neuralnetwork Jpeg
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6
Convolutional Neural Network (CNN) Image Compression
Musco Tf
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6
MUSCO: Multi-Stage COmpression of neural networks
Clic2020 Devkit
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5
Development Kit for the CLIC compression challenge.
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1-31 of 31 search results
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