szagoruyko / binary-wide-resnetLinks
PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)
☆126Updated 6 years ago
Alternatives and similar repositories for binary-wide-resnet
Users that are interested in binary-wide-resnet are comparing it to the libraries listed below
Sorting:
- Code for https://arxiv.org/abs/1810.04622☆141Updated 5 years ago
- Training wide residual networks for deployment using a single bit for each weight - Official Code Repository for ICLR 2018 Published Pape…☆36Updated 5 years ago
- [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895☆124Updated 6 years ago
- Pretrained ConvNets for pytorch: NASNet, ResNeXt, ResNet, InceptionV4, InceptionResnetV2, Xception, DPN, etc.☆77Updated 7 years ago
- Tensorflow codes for "Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers"☆30Updated 5 years ago
- Code for "EigenDamage: Structured Pruning in the Kronecker-Factored Eigenbasis" https://arxiv.org/abs/1905.05934☆113Updated 5 years ago
- PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html☆138Updated 6 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction☆134Updated 7 years ago
- pytorch model summary, statistic parameters number, memory usage, FLOPs and so on☆98Updated 5 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- Structured Bayesian Pruning, NIPS 2017☆74Updated 4 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆57Updated 6 years ago
- Path-Level Network Transformation for Efficient Architecture Search, in ICML 2018.☆112Updated 7 years ago
- Implementation for Trained Ternary Network.☆107Updated 8 years ago
- ☆87Updated 6 years ago
- Prunable nn layers for pytorch.☆48Updated 6 years ago
- Net-Trim: Convex Pruning of Deep Neural Networks with Performance Guarantee☆60Updated 7 years ago
- Kaggle Competition, Instance Segmentation☆86Updated 6 years ago
- Improving Object Detection from Scratch via Gated Feature Reuse (BMVC 2019)☆65Updated 5 years ago
- SimpNet Paper Files (Towards Principled Design of Deep Convolutional Networks: Introducing SimpNet)☆67Updated 6 years ago
- Reviewing recent advances in classification on CIFAR 10 and 100 datasets☆37Updated 7 years ago
- Low-rank convolutional neural networks☆97Updated 9 years ago
- ☆213Updated 6 years ago
- Repository has been moved: https://github.com/adobe/antialiased-cnns☆165Updated 3 years ago
- A plug-in replacement for DataLoader to load Imagenet disk-sequentially in PyTorch.☆239Updated 3 years ago
- TensorFlow implementation of PNASNet-5 on ImageNet☆101Updated 6 years ago
- ResNet with Shift, Depthwise, or Convolutional Operations for CIFAR-100, CIFAR-10 on PyTorch☆139Updated last year
- Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124☆72Updated 6 years ago
- Utilities for Pytorch☆89Updated 2 years ago