CAS-CLab / Training-Tricks-for-Binarized-Neural-Networks
The collection of training tricks of binarized neural networks.
☆72Updated 3 years ago
Related projects ⓘ
Alternatives and complementary repositories for Training-Tricks-for-Binarized-Neural-Networks
- ☆46Updated 4 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆49Updated 6 months ago
- Proximal Mean-field for Neural Network Quantization☆22Updated 4 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 5 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 4 years ago
- Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network☆80Updated last year
- ☆53Updated 5 years ago
- Mayo: Auto-generation of hardware-friendly deep neural networks. Dynamic Channel Pruning: Feature Boosting and Suppression.☆113Updated 4 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆54Updated 6 years ago
- ☆35Updated 4 years ago
- Some recent Quantizing techniques on PyTorch☆71Updated 5 years ago
- BitSplit Post-trining Quantization☆47Updated 2 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆73Updated 4 years ago
- Example for applying Gaussian and Laplace clipping on activations of CNN.☆34Updated 5 years ago
- ☆55Updated 3 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆37Updated last year
- All about acceleration and compression of Deep Neural Networks☆33Updated 5 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆28Updated 5 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 4 years ago
- ☆47Updated 4 years ago
- PyTorch implementation of binary neural networks☆43Updated 5 years ago
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆26Updated 4 years ago
- Post-training sparsity-aware quantization☆33Updated last year
- GPU implementation of Xnor network on inference level.☆21Updated 4 years ago
- Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298☆108Updated 2 years ago
- Implementation of BinaryConnect on Pytorch☆36Updated 3 years ago
- Binary neural networks developed by Huawei Noah's Ark Lab☆28Updated 3 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 3 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆35Updated 5 years ago
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…☆56Updated 2 years ago