gudovskiy / fmap_compressionLinks
Code for DNN feature map compression paper
☆11Updated 7 years ago
Alternatives and similar repositories for fmap_compression
Users that are interested in fmap_compression are comparing it to the libraries listed below
Sorting:
- CAE-ADMM: Implicit Bitrate Optimization via ADMM-Based Pruning in Compressive Autoencoders☆47Updated 5 years ago
- Deep Compression: Compressing Deep Neural Networks With Pruning, Trained Quantization And Huffman Coding☆16Updated 6 years ago
- I'm going to use the Winograd’s minimal filtering algorithms to introduce a new class of fast algorithms for convolutional neural networks…☆12Updated 7 years ago
- ☆14Updated 4 years ago
- This repo is an implementation of quantized CNN for both weights (1-bit compression) and feature maps (2-bit compression).☆18Updated 7 years ago
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆27Updated 6 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 7 years ago
- A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation☆57Updated 8 years ago
- Keras implementations of BinaryNet and XNORNet☆55Updated 8 years ago
- ☆13Updated 6 years ago
- This is a repository for summarizing papers especially related to machine learning.☆64Updated 6 years ago
- The code for Channel-Level Variable Quantization Network for Deep Image Compression (IJCAI 2020)☆30Updated 4 years ago
- Test winograd convolution written in TVM for CUDA and AMDGPU☆41Updated 7 years ago
- PyTorch implementation of Local Binary Convolutional Neural Network http://xujuefei.com/lbcnn.html☆47Updated 5 years ago
- ☆47Updated 6 years ago
- Pytorch implementation of "Multi-scale Single Image Dehazing using Perceptual Pyramid Deep Network"☆36Updated 7 years ago
- A regularly updated comparison of CNN architectures in terms of accuracy, operations and model size☆45Updated 7 years ago
- ☆29Updated 9 years ago
- Caffe version of code for our paper "Joint unsupervised learning of deep representations and image clusters"☆16Updated 8 years ago
- PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation☆23Updated 5 years ago
- A code for converting and testing Tensorflow models for AI Challenge☆29Updated 5 years ago
- This code implements NICE papper☆20Updated 7 years ago
- Tensorflow implementation of Perception-Preserving Convolutional Networks for Image Enhancement on Smartphones (ECCV 2018 Workshop PIRM)☆56Updated 6 years ago
- ☆13Updated 8 years ago
- Attention-Based Guided Structured Sparsity of Deep Neural Networks☆29Updated 5 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 6 years ago
- HNAS: Hierarchical Neural Architecture Search for Single Image Super-Resolution☆57Updated 5 years ago
- Pytorch implementation for FAT: learning low-bitwidth parametric representation via frequency-aware transformation☆27Updated 4 years ago
- DeepISP: Learning End-to-End Image Processing Pipeline☆28Updated 7 years ago
- This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100…☆41Updated 7 years ago