fangvv / awesome-edge-intelligence-collectionsLinks
About DNN compression and acceleration on Edge Devices.
☆55Updated 4 years ago
Alternatives and similar repositories for awesome-edge-intelligence-collections
Users that are interested in awesome-edge-intelligence-collections are comparing it to the libraries listed below
Sorting:
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆98Updated 5 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆131Updated 5 years ago
- A pytorch implementation of dorefa quantization☆113Updated 5 years ago
- A pytorch implementation of DoReFa-Net☆132Updated 5 years ago
- ☆131Updated last year
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆161Updated 4 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆115Updated 5 years ago
- Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298☆112Updated 3 years ago
- PyTorch implementation of EdMIPS: https://arxiv.org/pdf/2004.05795.pdf☆59Updated 5 years ago
- PyTorch implementation for the APoT quantization (ICLR 2020)☆277Updated 7 months ago
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆72Updated 3 years ago
- Pytorch implementation of our paper accepted by IJCAI 2020 -- Channel Pruning via Automatic Structure Search☆146Updated 4 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Updated last year
- ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.☆260Updated 3 years ago
- Implementation of Neuron-level Structured Pruning using Polarization Regularizer☆82Updated 2 years ago
- The collection of training tricks of binarized neural networks.☆72Updated 4 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆55Updated 5 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆108Updated 4 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Updated 2 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
- ☆46Updated 5 years ago
- ☆25Updated 3 years ago
- Any-Precision Deep Neural Networks (AAAI 2021)☆61Updated 5 years ago
- alibabacloud-quantization-networks☆121Updated 5 years ago
- Dynamic Channel Pruning: Feature Boosting and Suppression☆17Updated 6 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆69Updated 3 years ago