huangtinglin / PyTorch-extension-ConvolutionLinks
An example of C++ extension for PyTorch.
☆37Updated 5 years ago
Alternatives and similar repositories for PyTorch-extension-Convolution
Users that are interested in PyTorch-extension-Convolution are comparing it to the libraries listed below
Sorting:
- This is the official implementation of "DHP: Differentiable Meta Pruning via HyperNetworks".☆59Updated 3 years ago
- deformable_conv2d layer implemented in pytorch☆63Updated 6 years ago
- Code for Dynamic Convolutions: Exploiting Spatial Sparsity for Faster Inference (CVPR2020)☆128Updated 3 years ago
- This project is the official implementation of our accepted ICLR 2021 paper BiPointNet: Binary Neural Network for Point Clouds.☆77Updated 4 years ago
- Collections of model quantization algorithms. Any issues, please contact Peng Chen (blueardour@gmail.com)☆72Updated 3 years ago
- Global Sparse Momentum SGD for pruning very deep neural networks☆44Updated 3 years ago
- Code for the ICLR2020 "Training Binary Neural Networks with Real-to-Binary Convolutions☆35Updated 5 years ago
- Group Sparsity: The Hinge Between Filter Pruning and Decomposition for Network Compression. CVPR2020.☆65Updated 3 years ago
- PyTorch implementation of Dynamic Grouping Convolution and Groupable ConvNet with pre-trained G-ResNeXt models☆69Updated 5 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
- SGAS: Sequential Greedy Architecture Search (CVPR'2020) https://www.deepgcns.org/auto/sgas☆164Updated 4 years ago
- [NeurIPS 2020] ShiftAddNet: A Hardware-Inspired Deep Network☆74Updated 4 years ago
- pytorch implementation of "Differentiable Soft Quantization: Bridging Full-Precision and Low-Bit Neural Networks"☆131Updated 5 years ago
- ☆30Updated 3 years ago
- Bi-Real-Net Model in Pytorch https://arxiv.org/abs/1808.00278 + pre-trained fp model weights☆17Updated 6 years ago
- Implementation of "Fully Learnable Group Convolution for Acceleration of Deep Neural Networks", CVPR'19☆33Updated 5 years ago
- This repo contains the official Pytorch reimplementation of the paper "NetAdapt: Platform-Aware Neural Network Adaptation for Mobile Appl…☆187Updated 2 years ago
- How and why you want to make your pytorch CUDA/CPP extension with a Makefile☆172Updated 6 years ago
- ☆69Updated 5 years ago
- ☆120Updated 5 years ago
- This is the official pytorch implementation for paper: BiDet: An Efficient Binarized Object Detector, which is accepted by CVPR2020.☆174Updated 4 years ago
- Yet Another Pytorch Distributed MobileNetV2-based Networks Implementation☆64Updated 5 years ago
- [CVPR 2021] Searching by Generating: Flexible and Efficient One-Shot NAS with Architecture Generator☆39Updated 3 years ago
- Implementation of "DeepShift: Towards Multiplication-Less Neural Networks" https://arxiv.org/abs/1905.13298☆112Updated 3 years ago
- [CVPR 2020] APQ: Joint Search for Network Architecture, Pruning and Quantization Policy☆159Updated 5 years ago
- Implementation of Sparse Shift Layer and Active Shift Layer (3D, 4D, 5D tensors) for PyTorch(CPU,GPU)☆35Updated 4 years ago
- CNN channel pruning, LeGR, MorphNet, AMC. Codebase for paper "LeGR: Filter Pruning via Learned Global Ranking"☆115Updated 5 years ago
- Code for paper "Automatic Neural Network Compression by Sparsity-Quantization Joint Learning: A Constrained Optimization-based Approach"☆19Updated 5 years ago
- This is the implementaion of paper "Task-Oriented Feature Distillation"☆44Updated 3 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆109Updated 4 years ago