songhan / Deep-Compression-AlexNet
Deep Compression on AlexNet
☆660Updated 2 years ago
Alternatives and similar repositories for Deep-Compression-AlexNet:
Users that are interested in Deep-Compression-AlexNet are comparing it to the libraries listed below
- Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)☆1,082Updated 8 months ago
- Caffe for Sparse and Low-rank Deep Neural Networks☆379Updated 4 years ago
- ☆403Updated 5 years ago
- Implementation of "Iterative pruning" on TensorFlow☆160Updated 3 years ago
- Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1☆1,049Updated 6 years ago
- An efficient framework for convolutional neural networks☆275Updated last year
- Caffe for Deep Compression☆238Updated 7 years ago
- Training Deep Neural Networks with binary weights during propagations☆379Updated 8 years ago
- PyTorch Implementation of [1611.06440] Pruning Convolutional Neural Networks for Resource Efficient Inference☆877Updated 5 years ago
- Implementation of model compression with knowledge distilling method.☆345Updated 8 years ago
- ImageNet classification using binary Convolutional Neural Networks☆857Updated 7 years ago
- Ristretto: Caffe-based approximation of convolutional neural networks.☆291Updated 5 years ago
- Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1☆299Updated 3 years ago
- Caffe implementation for dynamic network surgery.☆186Updated 7 years ago
- collection of works aiming at reducing model sizes or the ASIC/FPGA accelerator for machine learning☆556Updated 11 months ago
- CondenseNet: Light weighted CNN for mobile devices☆694Updated 5 years ago
- ShuffleNet Implementation in TensorFlow☆383Updated 6 years ago
- PyTorch Implementation of XNOR-Net☆487Updated last year
- Learning Efficient Convolutional Networks through Network Slimming, In ICCV 2017.☆566Updated 5 years ago
- Caffe Implementation for Incremental network quantization☆191Updated 6 years ago
- Memory consumption and FLOP count estimates for convnets☆918Updated 6 years ago
- PyTorch implementation of 'Deep Compression: Compressing Deep Neural Networks with Pruning, Trained Quantization and Huffman Coding' by …☆416Updated 4 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆331Updated 5 months ago
- a list of awesome papers on deep model ompression and acceleration☆350Updated 3 years ago
- Soft Filter Pruning for Accelerating Deep Convolutional Neural Networks☆377Updated 5 years ago
- Rethinking the Value of Network Pruning (Pytorch) (ICLR 2019)☆1,511Updated 4 years ago
- A personal depthwise convolution layer implementation on caffe by liuhao.(only GPU)☆525Updated 3 years ago
- Papers for deep neural network compression and acceleration☆397Updated 3 years ago
- (New version is out: https://github.com/hpi-xnor/BMXNet-v2) BMXNet: An Open-Source Binary Neural Network Implementation Based on MXNet☆351Updated 5 years ago
- Code example for the ICLR 2018 oral paper☆151Updated 6 years ago