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
- Reference implementations of popular Binarized Neural Networks☆109Updated 3 weeks ago
- Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network☆83Updated 3 years ago
- Train neural networks with joint quantization and pruning on both weights and activations using any pytorch modules☆43Updated 3 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 5 years ago
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…☆57Updated 4 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
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆75Updated 6 years ago
- Binarize convolutional neural networks using pytorch☆149Updated 3 years ago
- ☆48Updated 5 years ago
- Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298☆114Updated 4 years ago
- ☆47Updated 6 years ago
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 4 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆41Updated 2 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 7 years ago
- Repository to track the progress in model compression and acceleration☆106Updated 4 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆73Updated 4 years ago
- ☆57Updated 5 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆61Updated 4 years ago
- Some recent Quantizing techniques on PyTorch☆72Updated 6 years ago
- BitSplit Post-trining Quantization☆50Updated 4 years ago
- Repository containing pruned models and related information☆38Updated 4 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- ☆43Updated 2 years ago
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆25Updated 5 years ago
- ☆28Updated 5 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago
- Code for the ICLR2020 "Training Binary Neural Networks with Real-to-Binary Convolutions☆34Updated 5 years ago
- Pytorch implementation for FAT: learning low-bitwidth parametric representation via frequency-aware transformation☆27Updated 4 years ago