Intro to SparseML

Learn about SparseML, open-source libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models.

SparseML is a toolkit that includes APIs, CLIs, scripts, and libraries that apply state-of-the-art sparsification algorithms such as pruning and quantization to any neural network. General, recipe-driven approaches built around these algorithms enable the simplification of creating faster and smaller models for the ML performance community at large.

Learn more and get started with SparseML: https://neuralmagic.com/sparseml/

SparseML integrations: https://github.com/neuralmagic/sparse...

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