ikhlestov / XNOR-NetLinks
Implementations of the XNOR networks
☆12Updated 7 years ago
Alternatives and similar repositories for XNOR-Net
Users that are interested in XNOR-Net are comparing it to the libraries listed below
Sorting:
- Binary Convolution Network for faster real-time processing in ASICs☆56Updated 7 years ago
- This repository represents training examples for the CVPR 2018 paper "SYQ:Learning Symmetric Quantization For Efficient Deep Neural Netwo…☆31Updated 5 years ago
- ☆35Updated 5 years ago
- This is a PyTorch implementation of the Scalpel. Node pruning for five benchmark networks and SIMD-aware weight pruning for LeNet-300-100…☆41Updated 6 years ago
- Implementation of Ternary Weight Networks In Caffe☆63Updated 8 years ago
- Training neural networks with 8-bit computations☆28Updated 9 years ago
- Implementation for Trained Ternary Network.☆107Updated 8 years ago
- Implementation of ICLR 2018 paper "Loss-aware Weight Quantization of Deep Networks"☆26Updated 5 years ago
- A script to convert floating-point CNN models into generalized low-precision ShiftCNN representation☆56Updated 7 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- Training wide residual networks for deployment using a single bit for each weight - Official Code Repository for ICLR 2018 Published Pape…☆36Updated 5 years ago
- ☆52Updated 6 years ago
- Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Updated 5 years ago
- Pytorch implementation for FAT: learning low-bitwidth parametric representation via frequency-aware transformation☆27Updated 4 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆35Updated 5 years ago
- Implementation of ICLR 2017 paper "Loss-aware Binarization of Deep Networks"☆18Updated 6 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆29Updated 6 years ago
- Keras implementations of BinaryNet and XNORNet☆55Updated 7 years ago
- Code for BlockSwap (ICLR 2020).☆33Updated 4 years ago
- Some recent Quantizing techniques on PyTorch☆72Updated 5 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- ☆28Updated 4 years ago
- Training Low-bits DNNs with Stochastic Quantization☆74Updated 7 years ago
- implement of DoReFaNet with tensorflow based on cifar10 dataset☆29Updated 7 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Updated 4 years ago
- Code for paper "Energy-Constrained Compression for Deep Neural Networks via Weighted Sparse Projection and Layer Input Masking"☆18Updated 6 years ago
- PyTorch implementation of Wide Residual Networks with 1-bit weights by McDonnell (ICLR 2018)☆126Updated 6 years ago
- ☆13Updated 8 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆85Updated 6 years ago
- This code implements NICE papper☆20Updated 6 years ago