penpaperkeycode / Binarized_Neural_Network_PytorchLinks
Courbariaux, Matthieu, Yoshua Bengio, and Jean-Pierre David. "Binaryconnect: Training deep neural networks with binary weights during propagations." Advances in neural information processing systems. 2015.
☆12Updated 5 years ago
Alternatives and similar repositories for Binarized_Neural_Network_Pytorch
Users that are interested in Binarized_Neural_Network_Pytorch are comparing it to the libraries listed below
Sorting:
- Pytorch implementation of EENets☆21Updated last year
- ☆17Updated 5 years ago
- Pytorch Implementation using Binary Weighs and activation.Accuracies are comparable .☆45Updated 6 years ago
- Implementation for the paper "Latent Weights Do Not Exist: Rethinking Binarized Neural Network Optimization"☆75Updated 6 years ago
- Implementation of BinaryConnect on Pytorch☆39Updated 4 years ago
- Post-training sparsity-aware quantization☆34Updated 2 years ago
- Ternay-Weights-Network/Pytorch☆38Updated 7 years ago
- About DNN compression and acceleration on Edge Devices.☆57Updated 4 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 5 years ago
- Pytorch implementations of the BNN, XNOR-Net and BiReal-Net☆15Updated 5 years ago
- XNOR-Net, with binary gemm and binary conv2d kernels, support both CPU and GPU.☆86Updated 6 years ago
- All about acceleration and compression of Deep Neural Networks☆33Updated 6 years ago
- ☆134Updated 2 years ago
- Position-based Scaled Gradient for Model Quantization and Pruning Code (NeurIPS 2020)☆25Updated 5 years ago
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 4 years ago
- [ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"☆32Updated 3 years ago
- Code to implement the experiments in "Post-training Quantization for Neural Networks with Provable Guarantees" by Jinjie Zhang, Yixuan Zh…☆11Updated 2 years ago
- Identify a binary weight or binary weight and activation subnetwork within a randomly initialized network by only pruning and binarizing …☆51Updated 3 years ago
- An implementation of ResNet with mixup and cutout regularizations and soft filter pruning.☆17Updated 5 years ago
- [NeurIPS 2021] “Stronger NAS with Weaker Predictors“, Junru Wu, Xiyang Dai, Dongdong Chen, Yinpeng Chen, Mengchen Liu, Ye Yu, Zhangyang W…☆27Updated 3 years ago
- The collection of training tricks of binarized neural networks.☆72Updated 4 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 5 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
- [ICLR 2022] The Unreasonable Effectiveness of Random Pruning: Return of the Most Naive Baseline for Sparse Training by Shiwei Liu, Tianlo…☆77Updated 3 years ago
- ☆43Updated 2 years ago
- Pytorch implementation of our paper accepted by NeurIPS 2020 -- Rotated Binary Neural Network☆83Updated 3 years ago
- Network Pruning That Matters: A Case Study on Retraining Variants (ICLR 2021)☆17Updated 4 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆91Updated 2 years ago
- Official implementation for ECCV 2022 paper LIMPQ - "Mixed-Precision Neural Network Quantization via Learned Layer-wise Importance"☆61Updated 2 years ago
- ☆25Updated 4 years ago