sparse-structure-selection
Sparse network pruner
Re-implements sparse structure selection algorithm for deep neural networks in a modified MXNet framework.
87 stars
9 watching
20 forks
Language: Python
last commit: over 6 years ago Related projects:
| Repository | Description | Stars |
|---|---|---|
| tusimple/neuron-selectivity-transfer | Re-implementation of knowledge distillation via neuron selectivity transfer for image classification tasks | 134 |
 neuralmagic/sparseml | Enables the creation of smaller neural network models through efficient pruning and quantization techniques | 2,083 |
| tusimple/tusimple-duc | This project presents an approach to improving the performance of convolutional neural networks in semantic segmentation tasks | 613 |
 tmllab/2021_neurips_pes | Improves the performance of deep neural networks by selectively stopping training at different stages | 29 |
 ntumslab/prune | A framework for unsupervised network embedding using a multi-task Siamese neural network | 45 |
 hiroyuki-kasai/sparsegdlibrary | A collection of unconstrained optimization algorithms for sparse modeling in MATLAB | 53 |
 carnotresearch/cr-sparse | A Python library providing a cohesive collection of functionalities for sparse signal processing problems | 88 |
 openai/sparse_attention | Provides primitives for sparse attention mechanisms used in transformer models to improve computational efficiency and scalability | 1,533 |
 jacobgil/pytorch-pruning | This project provides a PyTorch implementation of pruning techniques to reduce the computational resources required for neural network inference. | 877 |
 rodrigo-arenas/sklearn-genetic-opt | Automated hyperparameter tuning and feature selection using evolutionary algorithms. | 316 |
 bruinxiong/modified-crunet-and-residual-attention-network.mxnet | An MXNet implementation of a modified deep neural network architecture for image classification | 67 |
 aanand/deadweight | Determines which CSS selectors are actually used in a set of stylesheets and reports which can be safely deleted | 1,186 |
 wasidennis/adaptsegnet | This project implements a deep learning-based approach to adapt semantic segmentation models from one domain to another. | 851 |
 bamos/densenet.pytorch | An implementation of a deep neural network architecture in PyTorch | 833 |
 kazuto1011/pspnet-pytorch | Re-implementation of a deep learning model for semantic segmentation using PyTorch. | 52 |