jacobgil / pytorch-tensor-decompositionsLinks
PyTorch implementation of [1412.6553] and [1511.06530] tensor decomposition methods for convolutional layers.
☆288Updated 4 years ago
Alternatives and similar repositories for pytorch-tensor-decompositions
Users that are interested in pytorch-tensor-decompositions are comparing it to the libraries listed below
Sorting:
- CP and Tucker decomposition for Convolutional Neural Networks☆87Updated 7 years ago
- Learning Sparse Neural Networks through L0 regularization☆245Updated 5 years ago
- ☆102Updated 7 years ago
- [NeurIPS '18] "Can We Gain More from Orthogonality Regularizations in Training Deep CNNs?" Official Implementation.☆130Updated 4 years ago
- Repository to track the progress in model compression and acceleration☆106Updated 4 years ago
- [ICML 2018] "Deep k-Means: Re-Training and Parameter Sharing with Harder Cluster Assignments for Compressing Deep Convolutions"☆152Updated 4 years ago
- Codes for Layer-wise Optimal Brain Surgeon☆78Updated 7 years ago
- Learning both Weights and Connections for Efficient Neural Networks https://arxiv.org/abs/1506.02626☆181Updated 3 years ago
- Cheap distillation for convolutional neural networks.☆35Updated 7 years ago
- SNIP: SINGLE-SHOT NETWORK PRUNING BASED ON CONNECTION SENSITIVITY☆116Updated 6 years ago
- Knowledge distillation methods implemented with Tensorflow (now there are 11 (+1) methods, and will be added more.)☆265Updated 6 years ago
- Implements quantized distillation. Code for our paper "Model compression via distillation and quantization"☆336Updated last year
- ConvNet training using pytorch☆349Updated 4 years ago
- Tensor Train decomposition on TensorFlow☆226Updated 4 years ago
- Reducing the size of convolutional neural networks☆112Updated 8 years ago
- Prune DNN using Alternating Direction Method of Multipliers (ADMM)☆108Updated 5 years ago
- PyTorch code for training neural networks without global back-propagation☆166Updated 6 years ago
- ☆213Updated 7 years ago
- Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.☆110Updated 6 years ago
- Combined Group and Exclusive Sparsity for Deep Neural Networks, ICML 2017☆31Updated 7 years ago
- DeepHoyer: Learning Sparser Neural Network with Differentiable Scale-Invariant Sparsity Measures☆32Updated 5 years ago
- Pytorch Implementation of Neural Architecture Optimization☆113Updated 4 years ago
- PyTorch implementation for GAL.☆56Updated 5 years ago
- Pytorch version for weight pruning for Murata Group's CREST project☆57Updated 7 years ago
- A tutorial on "Bayesian Compression for Deep Learning" published at NIPS (2017).☆206Updated 7 years ago
- PyTorch Implementation of Weights Pruning☆184Updated 7 years ago
- A PyTorch implementation of "Incremental Network Quantization: Towards Lossless CNNs with Low-Precision Weights"☆167Updated 5 years ago
- Using Teacher Assistants to Improve Knowledge Distillation: https://arxiv.org/pdf/1902.03393.pdf☆263Updated 6 years ago
- Soft Threshold Weight Reparameterization for Learnable Sparsity☆90Updated 2 years ago
- Papers for deep neural network compression and acceleration☆403Updated 4 years ago