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.@vinutahsoc presenting at #NeurIPS2019 workshop today on Condensa: programmable model compression in Python. Python Install https://pypi.org/project/condensa/ …
Based on @NvidiaAI internship project with @animesh_garg and otherspic.twitter.com/inIPVWvLAj
Condensa has built-in compression operators. To recover any accuracy lost during compression, Condensa uses a constrained optimization and Augmented Lagrangian-based algorithm as the optimizer. Source Code https://github.com/NVLabs/condensa API Documentation https://nvlabs.github.io/condensa/
Our Programming System for Model Compression https://github.com/NVlabs/condensa was well received at Systems for ML #Sysml at #NeurIPS2019, we would like to thank @slbird @DanCrankshaw @sidsen1 @mejoeyg Aparna Lakshmi and other for bring together experts working at the crossroads of ML+Syspic.twitter.com/o7iuYO5qdx
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