[R]How to go about non-reproducible research?

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning

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  • LSTM-FCN

    Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification

  • reformer-pytorch

    Reformer, the efficient Transformer, in Pytorch

  • This is what I call great code : https://github.com/lucidrains/reformer-pytorch

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • DeepPoseKit

    a toolkit for pose estimation using deep learning

  • This is what I call a disgusting code : https://github.com/jgraving/deepposekit

NOTE: The number of mentions on this list indicates mentions on common posts plus user suggested alternatives. Hence, a higher number means a more popular project.

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