[P] A Static Analyzer for Detecting Tensor Shape Errors in Deep Neural Network Training Code

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

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  • pytea

    PyTea: PyTorch Tensor shape error analyzer

  • GitHub: https://github.com/ropas/pytea

  • examples

    A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

  • PyTea can successfully analyze the entire training/evaluation path such as Training Imagenet classifiers in https://github.com/pytorch/examples. It also supports major ML libraries including torchvision, numpy, PIL, and so on.

  • 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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