Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.
-
Updated
Aug 30, 2024
Awasome Papers and Resources in Deep Neural Network Pruning with Source Code.
3rd place solution for NeurIPS 2019 MicroNet challenge
This repository is the official implementation of the paper Pruning via Iterative Ranking of Sensitivity Statistics and implements novel pruning / compression algorithms for deep learning / neural networks. Amongst others it implements structured pruning before training, its actual parameter shrinking and unstructured before/during training.
Knowledge distillation from Ensembles of Iterative pruning (BMVC 2020)
(Unstructured) Weight Pruning via Adaptive Sparsity Loss
Submission name: QualcommAI-EfficientNet. MicroNet Challenge (NeurIPS 2019) submission - Qualcomm AI Research
ESPN: Extreme Sparse Pruned Network
The repository contains an implementation to try experiments of Lottery Ticket Hypothesis
[Project] Edge computing What Makes a Good Prune? Comparison Experiment
[Project] Structured/Unstructured Pruning Comparison Experiment
Add a description, image, and links to the unstructured-pruning topic page so that developers can more easily learn about it.
To associate your repository with the unstructured-pruning topic, visit your repo's landing page and select "manage topics."