CeLuigi / models-comparison.pytorch
Code for the paper Benchmark Analysis of Representative Deep Neural Network Architectures
☆164Updated 4 years ago
Alternatives and similar repositories for models-comparison.pytorch:
Users that are interested in models-comparison.pytorch are comparing it to the libraries listed below
- A PyTorch implementation of Mnasnet: MnasNet: Platform-Aware Neural Architecture Search for Mobile.☆273Updated 6 years ago
- Partial Order Pruning: for Best Speed/Accuracy Trade-off in Neural Architecture Search☆149Updated 4 years ago
- Neural architecture search(NAS)☆14Updated 6 years ago
- Synchronized Multi-GPU Batch Normalization☆223Updated 5 years ago
- pytorch model summary, statistic parameters number, memory usage, FLOPs and so on☆98Updated 5 years ago
- [ICLR 2020]: 'AtomNAS: Fine-Grained End-to-End Neural Architecture Search'☆222Updated 4 years ago
- Densely Connected Search Space for More Flexible Neural Architecture Search (CVPR2020)☆294Updated 4 years ago
- Batch normalization fusion for PyTorch. This is an archived repository, which is not maintained.☆197Updated 5 years ago
- Code and Pretrained model for IGCV3☆189Updated 6 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆196Updated 5 years ago
- [ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions, surpassing MobileNetV2☆102Updated 4 years ago
- ☆166Updated 2 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆166Updated 4 years ago
- ☆297Updated 4 years ago
- Multinomial Distribution Learning for Effective Neural Architecture Search☆207Updated 5 years ago
- [ECCV 2018] Sparsely Aggreagated Convolutional Networks https://arxiv.org/abs/1801.05895☆124Updated 6 years ago
- Network acceleration methods☆178Updated 3 years ago
- Code for https://arxiv.org/abs/1810.04622☆140Updated 5 years ago
- Single Path One-Shot NAS MXNet implementation with full training and searching pipeline. Support both Block and Channel Selection. Search…☆151Updated 5 years ago
- Model Scope in PyTorch (include Params, FLOPs, Madds).☆122Updated 5 years ago
- ☆138Updated 5 years ago
- PyTorch implementation of PNASNet-5 on ImageNet☆317Updated 2 years ago
- ☆111Updated 7 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
- Implementation of OctConv in Pytorch (https://arxiv.org/abs/1904.05049)☆214Updated 6 years ago
- reproduced the proposed results of SSD300 and SSD512☆111Updated 6 years ago
- ☆45Updated 5 years ago
- Hands-on Tutorial on Automated Deep Learning☆149Updated 4 years ago
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆395Updated 4 years ago
- ☆151Updated 4 years ago