jiecaoyu / XNOR-Net-PyTorchLinks
PyTorch Implementation of XNOR-Net
☆496Updated 2 years ago
Alternatives and similar repositories for XNOR-Net-PyTorch
Users that are interested in XNOR-Net-PyTorch are comparing it to the libraries listed below
Sorting:
- Binarized Neural Network (BNN) for pytorch☆519Updated last year
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆242Updated 2 years ago
- ☆213Updated 6 years ago
- 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
- Code example for the ICLR 2018 oral paper☆152Updated 7 years ago
- ConvNet training using pytorch☆347Updated 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"☆336Updated 11 months ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆85Updated 6 years ago
- PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by …☆421Updated 5 years ago
- Quantization of Convolutional Neural networks.☆244Updated 11 months ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆443Updated last year
- [CVPR 2019, Oral] HAQ: Hardware-Aware Automated Quantization with Mixed Precision☆389Updated 4 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet☆231Updated 3 years ago
- collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning☆561Updated last year
- Caffe Implementation for Incremental network quantization☆192Updated 6 years ago
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆882Updated 6 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆177Updated 2 years ago
- Deep Compression on AlexNet☆670Updated 3 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆380Updated 5 years ago
- ReActNet: Towards Precise Binary NeuralNetwork with Generalized Activation Functions. In ECCV 2020.☆259Updated 3 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
- PyTorch implementation for the APoT quantization (ICLR 2020)☆277Updated 7 months ago
- Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1☆301Updated 3 years ago
- Implementation for Trained Ternary Network.☆108Updated 8 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆280Updated last year
- BNN implementation in tensorflow☆167Updated 7 years ago
- PyTorch Implementation of Weights Pruning☆185Updated 7 years ago
- BinaryNets in TensorFlow with XNOR GEMM op☆156Updated 7 years ago