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Masterful AutoML Platform.

Project description

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Masterful is the training platform for computer vision models.

Pass in your model architecture and data. Masterful figures out the right hyperparameters for its SOTA regularization, optimization, and semi-supervised learning engines. And then trains your model weights to the peak accuracy.

Features

  • Built on Tensorflow 2.
  • SOTA regularization implementation to improve accuracy from your existing labeled training data while pushing all computations to GPU.
  • SOTA semi-supervised learning implementation to improve accuracy from your raw, unlabeled images.
  • Automatic, high speed hyperparameter discovery algorithms, based on custom search algorithms and analytical / closed-form solutions, to reduce manual experimentation.
  • Maximum GPU utilization and minimium GPU-hours used.
  • Support for most computer vision tasks:
    • Binary classification
    • Single-label classification
    • Multi-label classifcation
    • Detection
    • Semantic Segmentation
    • Instance Segmentation (coming soon)
    • Keypoint Detection (coming soon)

Key Links

Installation

For detailed instructions with a troubleshooting guide, see the Installation Guide.

The tldr instructions:

sudo apt install python3-pip
pip install --upgrade pip
pip install masterful
python -c "import masterful; print(masterful.__version__)"

Getting Help

Visit the documentation to see quick tutorials and in depth guides at www.masterfulai.com/docs.

Join the Slack community to speak to fellow users of Masterful and with Masterful AI's engineering team. You'll find a link to Slack from www.masterfulai.com.

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mful-dev-0.4.1.dev202204251650943961.tar.gz (25.9 kB view hashes)

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