wjc852456 / pytorch-quantLinks
DL quantization for pytorch
☆26Updated 6 years ago
Alternatives and similar repositories for pytorch-quant
Users that are interested in pytorch-quant are comparing it to the libraries listed below
Sorting:
- Bi-Real Net: Enhancing the Performance of 1-bit CNNs With Improved Representational Capability and Advanced Training Algorithm. In ECCV 2…☆186Updated 4 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 6 years ago
- A pytorch implementation of dorefa quantization☆113Updated 5 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 2 years ago
- ☆57Updated 4 years ago
- Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298☆112Updated 3 years ago
- alibabacloud-quantization-networks☆121Updated 5 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆115Updated 5 years ago
- Neural Network Quantization & Low-Bit Fixed Point Training For Hardware-Friendly Algorithm Design☆161Updated 4 years ago
- [CVPR 2020] This project is the PyTorch implementation of our accepted CVPR 2020 paper : forward and backward information retention for a…☆179Updated 5 years ago
- Quantization of Convolutional Neural networks.☆244Updated last year
- ☆46Updated 5 years ago
- Implement Towards Effective Low-bitwidth Convolutional Neural Networks☆41Updated 6 years ago
- ☆46Updated 5 years ago
- Code for our paper at ECCV 2020: Post-Training Piecewise Linear Quantization for Deep Neural Networks☆69Updated 3 years ago
- implement of DoReFaNet with tensorflow based on cifar10 dataset☆29Updated 7 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆131Updated 5 years ago
- An 8bit automated quantization conversion tool for the pytorch (Post-training quantization based on KL divergence)☆33Updated 5 years ago
- PyTorch implementation of Data Free Quantization Through Weight Equalization and Bias Correction.☆262Updated last year
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Updated 6 years ago
- Tensorflow quantization (float32-->int8) inference test☆74Updated 7 years ago
- ☆48Updated 5 years ago
- A pytorch implementation of DoReFa-Net☆132Updated 5 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆178Updated 2 years ago
- ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.☆260Updated 3 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆382Updated 5 years ago
- BitSplit Post-trining Quantization☆50Updated 3 years ago
- BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet☆231Updated 3 years ago
- Some recent Quantizing techniques on PyTorch☆72Updated 5 years ago
- PyTorch code for full quantization of DNN using BCGD☆14Updated 6 years ago