michaeltinsley / awesome-binary-neural-networksLinks
A curated list of binary neural network research papers and software packages.
☆28Updated 5 years ago
Alternatives and similar repositories for awesome-binary-neural-networks
Users that are interested in awesome-binary-neural-networks are comparing it to the libraries listed below
Sorting:
- The collection of training tricks of binarized neural networks.☆72Updated 4 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 5 years ago
- Reference implementations of popular Binarized Neural Networks☆109Updated 2 weeks ago
- Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network☆83Updated 2 years ago
- Some recent Quantizing techniques on PyTorch☆72Updated 6 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆75Updated 6 years ago
- ☆52Updated 6 years ago
- papers about model compression☆166Updated 2 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…☆57Updated 3 years ago
- [ICLR 2021 Spotlight] "CPT: Efficient Deep Neural Network Training via Cyclic Precision" by Yonggan Fu, Han Guo, Meng Li, Xin Yang, Yinin…☆31Updated last year
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 4 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆37Updated 6 years ago
- ☆48Updated 5 years ago
- Binarize convolutional neural networks using pytorch☆149Updated 3 years ago
- BMXNet 2: An Open-Source Binary Neural Network Implementation Based on MXNet☆232Updated 3 years ago
- ☆49Updated 3 years ago
- Reducing the size of convolutional neural networks☆112Updated 8 years ago
- LQ-Nets: Learned Quantization for Highly Accurate and Compact Deep Neural Networks☆243Updated 3 years ago
- Train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules☆43Updated 3 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆113Updated 6 years ago
- Repository to track the progress in model compression and acceleration☆106Updated 4 years ago
- Repository containing pruned models and related information☆38Updated 4 years ago
- [CVPR'20] ZeroQ: A Novel Zero Shot Quantization Framework☆279Updated 2 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆73Updated 4 years ago
- alibabacloud-quantization-networks☆122Updated 6 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆61Updated 4 years ago