Naveen-Lalwani / Compression-Techniques-for-Deep-Neural-NetworksLinks
Compression of Deep Neural Networks LeNet-300-100 and LeNet-5 trained on MNIST and CIFAR-10 using Quantization, Knowledge Distillation & Pruning.
☆20Updated 6 years ago
Alternatives and similar repositories for Compression-Techniques-for-Deep-Neural-Networks
Users that are interested in Compression-Techniques-for-Deep-Neural-Networks are comparing it to the libraries listed below
Sorting:
- Pytorch Implementationg of “Learning Efficient Convolutional Networks through Network Slimming”☆77Updated 6 years ago
- An implementation of ResNet with mixup and cutout regularizations and soft filter pruning.☆16Updated 5 years ago
- Unofficial Pytorch implementation of Deep Compression in CIFAR10☆35Updated 3 years ago
- NeurIPSCD2019, MicroNet Challenge hosted by Google, Deepmind Researcher, "Efficient Model for Image Classification With Regularization Tr…☆26Updated 4 years ago
- Personal Pytorch toy script.☆67Updated 3 years ago
- ☆19Updated 5 years ago
- Base to channel pruned to ResNet18 model☆146Updated 2 years ago
- Apply the pruning strategy for MobileNet_v2☆52Updated 6 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 6 years ago
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆83Updated 2 years ago
- Some recent Quantizing techniques on PyTorch☆72Updated 5 years ago
- Single Path One-Shot NAS MXNet implementation with Supernet training and searching☆19Updated 5 years ago
- The implementation of paper "Bag of Tricks for Image Classification with Convolutional Neural Networks" by Xie et al.☆45Updated 6 years ago
- Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search☆146Updated 4 years ago
- ☆45Updated 6 years ago
- Implementation of knapsack pruning☆27Updated 5 years ago
- PyTorch implementation for GAL.☆56Updated 5 years ago
- resnet_cifar10_cifar100_imagenet☆13Updated 6 years ago
- Code for IJCAI2019 paper☆46Updated 6 years ago
- Pytorch implementation of channel pruning and AMC☆32Updated 6 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
- Try out different pruning-approaches on lightweight Backbones.☆146Updated 5 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Updated 6 years ago
- network slimming with pytorch☆24Updated 4 years ago
- ☆68Updated 6 years ago
- papers about model compression☆166Updated 2 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
- ☆12Updated 3 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning☆53Updated 4 years ago
- PyTorch Implementation of AutoPruner☆23Updated 5 years ago