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1. SACRED_HYPEROPT_Example SACRED_HYPEROPT_Example Public

   A minimal example for integrating a general machine learning training script with SACRED experimental framework, and HyperOpt (Distributed Asynchronous Hyperparameter Optimization).

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2. COSMO COSMO Public

   Code for our paper "Adaptive Confidence Smoothing for Generalized Zero-Shot Learning"

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3. SACRED_HyperOpt_v2 SACRED_HyperOpt_v2 Public

   A collection of classes, methods and examples, to integrate SACRED experiment framework with hyperopt distributed training.

   Jupyter Notebook 19 5

4. LAGO LAGO Public

   Code for our paper: Atzmon & Chechik, "Probabilistic AND-OR Attribute Grouping for Zero-Shot Learning", UAI 2018

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5. COMET COMET Public

   Code and data for the paper "Learning Sparse Metrics, One Feature at a Time", Y. Atzmon, U. Shalit, G. Chechik, JMLR 2015

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6. compositional-relationships-data compositional-relationships-data Public

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