tlkh / depsep-conv-benchmarksLinks
Code for Depth-wise Separable Convolutions: Performance Investigations
☆19Updated 5 years ago
Alternatives and similar repositories for depsep-conv-benchmarks
Users that are interested in depsep-conv-benchmarks are comparing it to the libraries listed below
Sorting:
- ☆45Updated 6 years ago
- MixPath: A Unified Approach for One-shot Neural Architecture Search☆30Updated 5 years ago
- ☆26Updated 4 years ago
- A Caffe version of official PyTorch ResNeSt☆27Updated 5 years ago
- ☆70Updated 6 years ago
- Single Path One-Shot NAS MXNet implementation with Supernet training and searching☆19Updated 5 years ago
- ☆47Updated 5 years ago
- Some recent Quantizing techniques on PyTorch☆72Updated 6 years ago
- [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator☆39Updated 3 years ago
- ProxylessNAS-Pytorch☆24Updated 6 years ago
- Class Project for 18663 - Implementation of FBNet (Hardware-Aware DNAS)☆34Updated 6 years ago
- Yet Another Pytorch Distributed MobileNetV2-based Networks Implementation☆63Updated 5 years ago
- ☆54Updated 6 years ago
- A Gluon implementation of Mnasnet☆60Updated 6 years ago
- PyTorch implementation of "Single-Path NAS: Device-Aware Efficient ConvNet Design"☆37Updated 3 years ago
- AutoGrow: Automatic Layer Growing in Deep Convolutional Networks (KDD 2020)☆40Updated 6 years ago
- ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting☆14Updated 6 years ago
- A tool to count operators and parameters of your MXNet-Gluon model.☆23Updated 5 years ago
- ☆35Updated 5 years ago
- Filter Response Normalization tested on better ImageNet baselines.☆35Updated 5 years ago
- [ICCV 2019] Harmonious Bottleneck on Two Orthogonal Dimensions, surpassing MobileNetV2☆101Updated 5 years ago
- AutoTorch, A HPO Toolkit☆60Updated 5 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆37Updated 6 years ago
- ☆33Updated last year
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Filter Sketch for Network Pruning☆53Updated 4 years ago
- PyTorch implementation of binary neural networks☆45Updated 6 years ago
- Rethinking the Smaller-Norm-Less-Informative Assumption in Channel Pruning of Convolution Layers https://arxiv.org/abs/1802.00124☆72Updated 7 years ago
- The implementation of "Shape Adaptor: A Learnable Resizing Module" [ECCV 2020].☆73Updated 4 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆65Updated 3 years ago
- ☆181Updated 2 years ago