StijnVerdenius/SNIP-it
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.
PythonMIT
Stargazers
- 3outeilleHuggingFace
- caiwenpunju
- cbalint13Earth, MilkyWay, Laniakea
- ChengYaofeng
- CMFiltenborgAmsterdam, Netherlands
- dongbeiwudaxian
- EliasKassapis
- iamilyasedunov@CodeSopranos
- ioangatop@kaiko-ai
- ipekganiAmsterdam
- Jackerz312Universidad de Chile
- jackrcoleRockville, MD
- johnrachwan123Munich
- KarenUllrichRS FAIR NY
- max-ilse
- MinghuiChen43University of British Columbia
- MsterDCU.K
- Mudkipboo
- planemannerKorea
- pollendoAmsterdam
- riohibGeorgia Institute of Technology
- rlhjansen
- sagarverma@granularai
- sgraaf
- SimonDufLab
- StijnVerdenius
- theblenderer
- trisongzGrowth Engine AI
- VictorZuanazziAidence