metcan / Binary-Convolutional-Neural-Network-Inference-on-GPULinks
GPU implementation of Xnor network on inference level.
☆22Updated 4 years ago
Alternatives and similar repositories for Binary-Convolutional-Neural-Network-Inference-on-GPU
Users that are interested in Binary-Convolutional-Neural-Network-Inference-on-GPU are comparing it to the libraries listed below
Sorting:
- ☆35Updated 5 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆22Updated 4 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆71Updated 4 years ago
- [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator☆38Updated 3 years ago
- The collection of training tricks of binarized neural networks.☆72Updated 4 years ago
- [CVPRW 21] "BNN - BN = ? Training Binary Neural Networks without Batch Normalization", Tianlong Chen, Zhenyu Zhang, Xu Ouyang, Zechun Liu…☆57Updated 3 years ago
- Code for High-Capacity Expert Binary Networks (ICLR 2021).☆27Updated 3 years ago
- Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019☆18Updated 3 years ago
- All about acceleration and compression of Deep Neural Networks☆33Updated 5 years ago
- ☆20Updated 2 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Updated 4 years ago
- Algorithm-hardware Co-design for Deformable Convolution☆24Updated 4 years ago
- A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).☆23Updated 3 years ago
- ProxylessNAS-Pytorch☆23Updated 5 years ago
- How Do Adam and Training Strategies Help BNNs Optimization? In ICML 2021.☆60Updated 3 years ago
- ☆28Updated 4 years ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆25Updated 3 years ago
- Pytorch implementations of the BNN, XNOR-Net and BiReal-Net☆15Updated 4 years ago
- ☆46Updated 5 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆35Updated 5 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Updated 2 years ago
- ☆15Updated 5 years ago
- Arch-Net: Model Distillation for Architecture Agnostic Model Deployment☆22Updated 3 years ago
- PyTorch implementation of binary neural networks☆45Updated 6 years ago
- PyTorch implementation of Towards Efficient Training for Neural Network Quantization☆15Updated 5 years ago
- Cyclic Differentiable Architecture Search☆36Updated 3 years ago
- Codes for Accepted Paper : "MetaQuant: Learning to Quantize by Learning to Penetrate Non-differentiable Quantization" in NeurIPS 2019☆54Updated 5 years ago
- ☆47Updated 4 years ago
- source code of the paper: Robust Quantization: One Model to Rule Them All☆40Updated 2 years ago