Is it not possible to get good results in Deep Learning if dataset is small (1000 images)? [D]

This page summarizes the projects mentioned and recommended in the original post on /r/MachineLearning
wdsr edsr Keras super-resolution single-image-super-resolution

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  • super-resolution

    Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution

    • https://github.com/krasserm/super-resolution (Super useful for me)

  • 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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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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