zhaohui-yang / LegoNetLinks
A Pytorch implementation of "LegoNet: Efficient Convolutional Neural Networks with Lego Filters" (ICML 2019).
☆140Updated 5 years ago
Alternatives and similar repositories for LegoNet
Users that are interested in LegoNet are comparing it to the libraries listed below
Sorting:
- Filter Response Normalization tested on better ImageNet baselines.☆35Updated 5 years ago
- Tools for computing model parameters and FLOPs.☆88Updated 7 years ago
- Sparse Switchable Normalization with sparse activation function SparestMax☆65Updated 6 years ago
- A PyTorch implementation of shake-shake☆111Updated 5 years ago
- Implementation of Octave Convolution from Drop an Octave: Reducing Spatial Redundancy in Convolutional Neural Networks with Octave Convol…☆57Updated 6 years ago
- Repository has been moved: https://github.com/adobe/antialiased-cnns☆164Updated 4 years ago
- PyTorch implementation of CVPR'18 - Perturbative Neural Networks http://xujuefei.com/pnn.html☆138Updated 7 years ago
- Simple experiment of Apex (A PyTorch Extension)☆47Updated 6 years ago
- Neural Rejuvenation: Improving Deep Network Training by Enhancing Computational Resource Utilization at CVPR'19☆48Updated 6 years ago
- Filter Response Normalization Layer in PyTorch☆121Updated 5 years ago
- Pytorch implementation of group normalization in https://arxiv.org/abs/1803.08494 (Following the PyTorch Style)☆87Updated 7 years ago
- SparseMask: Differentiable Connectivity Learning for Dense Image Prediction.☆53Updated 6 years ago
- ☆90Updated 6 years ago
- [AAAI'20][ICML'19 AutoML] This repository is the implementation of "InstaNAS: Instance-aware Neural Architecture Search"☆93Updated 4 years ago
- An official collection of code in different frameworks that reproduces experiments in "Group Normalization"☆118Updated 4 years ago
- PyTorch Implementation of 'Deep Networks with Stochastic Depth'☆28Updated 7 years ago
- (ICCV 2019 Oral) Many Task Learning With Task Routing http://openaccess.thecvf.com/content_ICCV_2019/html/Strezoski_Many_Task_Learning_Wi…☆64Updated 6 years ago
- Model Scope in PyTorch (include Params, FLOPs, Madds).☆121Updated 6 years ago
- ☆181Updated 2 years ago
- Code for "Are labels necessary for neural architecture search"☆92Updated last year
- Bridging the gap Between Stability and Scalability in Neural Architecture Search☆144Updated 4 years ago
- A Pytorch implementation of https://arxiv.org/abs/1810.12348.☆37Updated 6 years ago
- A neat pytorch implementation of nasnet and the ported weights from tensorflow☆76Updated 5 years ago
- Code for https://arxiv.org/abs/1810.04622☆140Updated 6 years ago
- PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models☆69Updated 5 years ago
- Learnable Embedding Space for Efficient Neural Architecture Compression☆29Updated 6 years ago
- ICLR 2018 reproducibility challenge - Multi-Scale Dense Convolutional Networks for Efficient Prediction☆134Updated 7 years ago
- On Network Design Spaces for Visual Recognition☆96Updated 5 years ago
- Smoothed Dilated Convolutions for Improved Dense Prediction☆74Updated 7 years ago
- Official repository of CVPR 2020 paper "On Translation Invariance in CNNs: Convolutional Layers can Exploit Absolute Spatial Location"☆70Updated 4 years ago