mil-ad / studying-binary-neural-networksLinks
☆52Updated 6 years ago
Alternatives and similar repositories for studying-binary-neural-networks
Users that are interested in studying-binary-neural-networks are comparing it to the libraries listed below
Sorting:
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆74Updated 5 years ago
- Implementation of BinaryConnect on Pytorch☆39Updated 4 years ago
- Codes for Binary Ensemble Neural Network: More Bits per Network or More Networks per Bit?☆31Updated 5 years ago
- Code for the paper "Training Binary Neural Networks with Bayesian Learning Rule☆39Updated 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
- Reproduction of WAGE in PyTorch.☆44Updated 6 years ago
- ProxQuant: Quantized Neural Networks via Proximal Operators☆29Updated 6 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- ☆35Updated 5 years ago
- Conditional channel- and precision-pruning on neural networks☆72Updated 5 years ago
- Reducing the size of convolutional neural networks☆112Updated 7 years ago
- Source code for paper "Regularizing Activation Distribution for Training Binarized Deep Networks"☆32Updated 6 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆85Updated 6 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
- DNN quantization with outlier channel splitting☆113Updated 5 years ago
- Proximal Mean-field for Neural Network Quantization☆22Updated 5 years ago
- Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights☆17Updated 5 years ago
- Code example for the ICLR 2018 oral paper☆152Updated 7 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆60Updated 4 years ago
- ☆19Updated 7 years ago
- Binary Convolution Network for faster real-time processing in ASICs☆56Updated 7 years ago
- The collection of training tricks of binarized neural networks.☆72Updated 4 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆33Updated 4 years ago
- ☆213Updated 6 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- Code for the ICLR2020 "Training Binary Neural Networks with Real-to-Binary Convolutions☆35Updated 5 years ago
- Pytorch Implementation using Binary Weighs and activation.Accuracies are comparable .☆44Updated 5 years ago
- This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contr…☆50Updated last year
- 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
- A PyTorch implementation of NASBench☆52Updated 2 years ago