jacobgil / pytorch-pruningLinks
PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference
☆885Updated 6 years ago
Alternatives and similar repositories for pytorch-pruning
Users that are interested in pytorch-pruning are comparing it to the libraries listed below
Sorting:
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,515Updated 5 years ago
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆572Updated 6 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆383Updated 6 years ago
- [ECCV 2018] AMC: AutoML for Model Compression and Acceleration on Mobile Devices☆443Updated last year
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,084Updated last year
- PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by …☆421Updated 5 years ago
- Papers for deep neural network compression and acceleration☆401Updated 4 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆336Updated last year
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆575Updated 6 years ago
- Code for: "And the bit goes down: Revisiting the quantization of neural networks"☆631Updated 4 years ago
- PyTorch Implementation of Weights Pruning☆184Updated 7 years ago
- Network Slimming (Pytorch) (ICCV 2017)☆915Updated 4 years ago
- a list of awesome papers on deep model ompression and acceleration☆349Updated 4 years ago
- Code for the NuerIPS'19 paper "Gate Decorator: Global Filter Pruning Method for Accelerating Deep Convolutional Neural Networks"☆195Updated 5 years ago
- PyTorch Implementation of XNOR-Net☆495Updated 2 years ago
- Single-Path NAS: Designing Hardware-Efficient ConvNets in less than 4 Hours☆396Updated 4 years ago
- CondenseNet: Light weighted CNN for mobile devices☆691Updated 5 years ago
- MetaPruning: Meta Learning for Automatic Neural Network Channel Pruning. In ICCV 2019.☆353Updated 5 years ago
- ☆669Updated 4 years ago
- Deep Compression on AlexNet☆671Updated 3 years ago
- Pruning Neural Networks with Taylor criterion in Pytorch☆319Updated 5 years ago
- ConvNet training using pytorch☆348Updated 4 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆179Updated 2 years ago
- [ICLR 2019] ProxylessNAS: Direct Neural Architecture Search on Target Task and Hardware☆1,450Updated last year
- A PyTorch implementation of MobileNet V2 architecture and pretrained model.☆1,402Updated 6 years ago
- Memory consumption and FLOP count estimates for convnets☆929Updated 6 years ago
- A Pytorch implementation of Neural Network Compression (pruning, deep compression, channel pruning)☆157Updated last year
- Implementation of model compression with knowledge distilling method.☆342Updated 8 years ago
- 3.41% and 17.11% error on CIFAR-10 and CIFAR-100☆334Updated 6 years ago
- PyTorch Implementation of DARTS: Differentiable Architecture Search☆447Updated 3 years ago