[P] Using Sparsity & Clustering to compress your models: Efficient Deep Learning Book

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  • book

    PDFs and Codelabs for the Efficient Deep Learning book. (by EfficientDL)

  • We now have a new chapter focusing on sparsity and clustering, two advanced compression techniques that you can use to reduce the footprint of your model (size, latency, etc.) while retaining your model accuracy. You can read the chapter here, and go through the accompanying codelabs here.

  • graphsignal-python

    Graphsignal Tracer for Python

  • Thanks for sharing! That's a very timely topic. I've actually created a profiler to track and analyze inference optimizations, i.e. enable the optimize-verify-evaluate loop.

  • 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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