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Mutual information for fine-grained network analysis in neural architecture search
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
Ergonomic machine learning for everyone.
[UNMAINTAINED] Automated machine learning- just give it a data file! Check out the production-ready version of this project at ClimbsRocks/auto_ml
A pytorch implementation of MINE(Mutual Information Neural Estimation)
The practitioner's forecasting library
Official code for "InfoGraph: Unsupervised and Semi-supervised Graph-Level Representation Learning via Mutual Information Maximization" (ICLR 2020, spotlight)
NSGA-Net, a Neural Architecture Search Algorithm
A curated list of awesome edge machine learning resources, including research papers, inference engines, challenges, books, meetups and others.
aw_nas: A Modularized and Extensible NAS Framework
(CVPR 2020) Block-wisely Supervised Neural Architecture Search with Knowledge Distillation