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  1. incompletedata_research_case_study incompletedata_research_case_study Public

    Simulation study for Statistical Analysis of Incomplete Data Winter 2021/2022

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  2. unstructured_pruning_at_init unstructured_pruning_at_init Public

    Evaluation of Efficiency of Unstructured Pruning at Initialization

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  3. snip snip Public

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    Pytorch implementation of the paper "SNIP: Single-shot Network Pruning based on Connection Sensitivity" by Lee et al.

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    Prospect Pruning: Finding Trainable Weights at Initialization Using Meta-Gradients

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  5. GraSP GraSP Public

    Forked from alecwangcq/GraSP

    Code for "Picking Winning Tickets Before Training by Preserving Gradient Flow" https://openreview.net/pdf?id=SkgsACVKPH

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    Forked from lfwa/carbontracker

    Track and predict the energy consumption and carbon footprint of training deep learning models.

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