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:
- [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator☆39Updated 3 years ago
- Algorithm-hardware Co-design for Deformable Convolution☆24Updated 4 years ago
- The collection of training tricks of binarized neural networks.☆72Updated 4 years ago
- Revisiting Parameter Sharing for Automatic Neural Channel Number Search, NeurIPS 2020☆21Updated 4 years ago
- Cyclic Differentiable Architecture Search☆36Updated 3 years ago
- Pytorch implemenation of "Learning Filter Basis for Convolutional Neural Network Compression" ICCV2019☆18Updated 3 years ago
- PyTorch implementation of binary neural networks☆45Updated 6 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
- A highly modular PyTorch framework with a focus on Neural Architecture Search (NAS).☆23Updated 3 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆65Updated 3 years ago
- ☆17Updated 3 years ago
- Pytorch implementation of our paper accepted by IEEE TNNLS, 2021 -- Network Pruning using Adaptive Exemplar Filters☆22Updated 4 years ago
- ☆35Updated 5 years ago
- [ICCV 2021] Code release for "Sub-bit Neural Networks: Learning to Compress and Accelerate Binary Neural Networks"☆32Updated 3 years ago
- PyTorch implementation of "Deep Transferring Quantization" (ECCV2020)☆18Updated 3 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 4 years ago
- Official PyTorch Implementation of "Learning Architectures for Binary Networks" (ECCV2020)☆26Updated 4 years ago
- PyTorch implementation of Near-Lossless Post-Training Quantization of Deep Neural Networks via a Piecewise Linear Approximation☆22Updated 5 years ago
- Single Path One-Shot NAS MXNet implementation with Supernet training and searching☆19Updated 5 years ago
- Reducing Channel Redundancy in Convolutional Neural Networks by Features Recombining (TIP 2021)☆18Updated 2 years ago
- An implementation of ResNet with mixup and cutout regularizations and soft filter pruning.☆16Updated 4 years ago
- ICML2019 Accepted Paper. Overcoming Multi-Model Forgetting☆14Updated 6 years ago
- Codes for AAAI2019 paper: Deep Neural Network Quantization via Layer-Wise Optimization using Limited Training Data☆41Updated 6 years ago
- A visualization and transformation of pytorch model☆30Updated 5 years ago
- MixPath: A Unified Approach for One-shot Neural Architecture Search☆29Updated 4 years ago
- [NeurIPS 2019] E2-Train: Training State-of-the-art CNNs with Over 80% Less Energy☆21Updated 5 years ago
- ☆20Updated 2 years ago
- 3rd place solution for NeurIPS 2019 MicroNet challenge☆35Updated 5 years ago
- ☆46Updated 5 years ago
- This is the pytorch implementation for the paper: Generalizable Mixed-Precision Quantization via Attribution Rank Preservation, which is…☆25Updated 3 years ago