Libraries for applying sparsification recipes to neural networks with a few lines of code, enabling faster and smaller models (by neuralmagic)


Basic sparseml repo stats
about 7 hours ago

neuralmagic/sparseml is an open source project licensed under Apache License 2.0 which is an OSI approved license.


Posts where sparseml has been mentioned. We have used some of these posts to build our list of alternatives and similar projects.
  • Tutorial: Real-time YOLOv3 on a Laptop Using Sparse Quantization
    Apply the sparse-quantized results to your dataset by following the YOLOv3 tutorial. All software is open source or freely available.
  • Pruning and Quantizing Ultralytics YOLOv3
    We’ve noticed YOLOv3 runs pretty slowly on CPUs restricting its use for real-time requests. Given that, we looked into combining pruning and quantization using the Ultralytics YOLOv3 model, and the results turned out well, over 5X faster over a dense FP32 baseline! We open sourced the integration and models on GitHub for anyone to play around with; if you’re interested, please check it out and give us feedback.
  • Quantization in Deep Learning
    Other than this, this is a recently open-sourced project which might interest you.
  • [D] Neural Magic open sourced their code!
    We're building out integrations and pipelines right now :)