wxwang0104 / Quantized_ResNetLinks
This repo is an implementation of quantized CNN for both weights (1-bit compression) and feature maps (2-bit compression).
☆18Updated 6 years ago
Alternatives and similar repositories for Quantized_ResNet
Users that are interested in Quantized_ResNet are comparing it to the libraries listed below
Sorting:
- Exploiting Kernel Sparsity and Entropy for Interpretable CNN Compression☆49Updated last year
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 6 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Updated 6 years ago
- PyTorch implementation for GAL.☆56Updated 5 years ago
- ☆25Updated 6 years ago
- implementation of Iterative Pruning for Deep neural network [Han2015].☆40Updated 6 years ago
- Code repositoy for "AOWS: Adaptive and optimal network width search with latency constraints", CVPR 2020☆36Updated 5 years ago
- PyTorch code for full quantization of DNN using BCGD☆14Updated 5 years ago
- Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124☆72Updated 6 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- ☆51Updated 5 years ago
- ☆38Updated 6 years ago
- Unofficial Pytorch implementation of Deep Compression in CIFAR10☆35Updated 3 years ago
- Deep Compression: Compressing Deep Neural Networks With Pruning, Trained Quantization And Huffman Coding☆16Updated 6 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Updated 6 years ago
- ☆45Updated 5 years ago
- Tools for computing model parameters and FLOPs.☆87Updated 6 years ago
- Towards Optimal Structured CNN Pruning via Generative Adversarial Learning☆17Updated 6 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆56Updated 7 years ago
- Efficient HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs☆43Updated 6 years ago
- Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights☆17Updated 5 years ago
- caffe model of ICCV'17 paper - ThiNet: A Filter Level Pruning Method for Deep Neural Network Compression https://arxiv.org/abs/1707.06342☆147Updated 6 years ago
- Pytorch implementation for FAT: learning low-bitwidth parametric representation via frequency-aware transformation☆27Updated 4 years ago
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆34Updated 5 years ago
- DL quantization for pytorch☆26Updated 6 years ago
- resnet_cifar10_cifar100_imagenet☆13Updated 6 years ago
- HetConv: Heterogeneous Kernel-Based Convolutions for Deep CNNs simply implement☆44Updated 6 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Updated 2 years ago
- Two-Step Quantization on AlexNet☆13Updated 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