kunglab / branchynetLinks
☆128Updated last year
Alternatives and similar repositories for branchynet
Users that are interested in branchynet are comparing it to the libraries listed below
Sorting:
- ☆118Updated 6 years ago
- About DNN compression and acceleration on Edge Devices.☆55Updated 4 years ago
- Pytorch-based early exit network inspired by branchynet☆31Updated 3 weeks ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆108Updated 4 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆114Updated 5 years ago
- Code for SkipNet: Learning Dynamic Routing in Convolutional Networks (ECCV 2018)☆240Updated 6 years ago
- 基于提前退出部分样本原理而实现的 带分支网络(supported by chainer)☆45Updated 6 years ago
- ☆48Updated 5 years ago
- Implementation of BinaryConnect on Pytorch☆39Updated 4 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆60Updated 5 years ago
- Measuring and predicting on-device metrics (latency, power, etc.) of machine learning models☆66Updated 2 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆108Updated 6 years ago
- FedNAS: Federated Deep Learning via Neural Architecture Search☆54Updated 3 years ago
- ☆213Updated 6 years ago
- 2-stage pruning to favor distributed inference (local device compute half of the model, upload the feature for further computing on stron…☆23Updated 7 years ago
- Code for "Adaptive Gradient Quantization for Data-Parallel SGD", published in NeurIPS 2020.☆30Updated 4 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆177Updated 2 years ago
- Pytorch implementation of EENets☆19Updated 8 months ago
- A PyTorch implementation of the iterative pruning method described in Han et. al. (2015)☆40Updated 6 years ago
- Deep Compressive Offloading: Speeding Up Neural Network Inference by Trading Edge Computation for Network Latency☆27Updated 4 years ago
- Reducing the size of convolutional neural networks☆112Updated 7 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆335Updated 10 months ago
- DNN quantization with outlier channel splitting☆113Updated 5 years ago
- PyTorch Implementation of Weights Pruning☆185Updated 7 years ago
- Codes for Layer-wise Optimal Brain Surgeon☆77Updated 6 years ago
- Code release for "Adversarial Robustness vs Model Compression, or Both?"☆91Updated 3 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆59Updated 4 years ago
- a pytorch implement of mobileNet v2 on cifar10☆62Updated 2 years ago
- Pruning Filters For Efficient ConvNets, PyTorch Implementation.☆30Updated 5 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆29Updated 6 years ago