[NIPS 2016] Learning Structured Sparsity in Deep Neural Networks
- Updated
Oct 10, 2021 - Python
[NIPS 2016] Learning Structured Sparsity in Deep Neural Networks
Official Pytorch implementation of "Filter Pruning by Image Channel Reduction in Pre-Trained Convolutional Neural Networks".
Intelligent layer pruning toolkit for LLMs featuring iterative optimization, self-healing algorithms, and comprehensive benchmarking.
Code for the papers: "Efficient Speech Translation through Model Compression and Knowledge Distillation" and "Iterative Layer Pruning for Efficient Translation Inference"
Based on yolov3 and channel and layer pruning
🛠️ Optimize LLMs with advanced pruning strategies and real-time visualization for smaller, faster models without losing intelligence.
Add a description, image, and links to the layer-pruning topic page so that developers can more easily learn about it.
To associate your repository with the layer-pruning topic, visit your repo's landing page and select "manage topics."