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AutoML with PyTorch and Ray - Aniket Maurya, Gr...

AutoML with PyTorch and Ray - Aniket Maurya, Grid.ai

Gradsflow is an open source AutoML library based on PyTorch. It provides automatic model building and training for various deep learning tasks like image classification and text classification. Furthermore, it leverages Ray for hyperparameter tuning and scaling training on a laptop or a cluster of machines. In this talk, we will look at the internals of Gradsflow with Ray and how to tune hyperparameters of your model quickly.

Aniket is a machine learning software engineer and is currently a developer advocate at Grid.ai.

Anyscale

June 09, 2022
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  1. About me Aniket Maurya An open-source AutoML & PyTorch Model

    Training Library Developer Advocate at
  2. Vision of Gradsflow • Anyone can Build with AI •

    Low Code • Save development time • Focus on Solving Problems • Automate Repetitive Tasks
  3. About GradsFlow • Powerful & easy-to-extend Model Training API •

    Automatic Machine Learning model building & training • Automatic Hyperparameter tuning & model selection. • Increased Productivity by removing repetitive tasks.
  4. About GradsFlow • Powerful & easy-to-extend Model Training API •

    Automatic Machine Learning model building & training • Automatic Hyperparameter tuning & model selection. • Increased Productivity by removing repetitive tasks.
  5. About GradsFlow • Powerful & easy-to-extend Model Training API •

    Automatic Machine Learning model building & training • Automatic Hyperparameter tuning & model selection. • Increased Productivity by removing repetitive tasks.
  6. About GradsFlow • Powerful & easy-to-extend Model Training API •

    Automatic Machine Learning model building & training • Automatic Hyperparameter tuning & model selection. • Increased Productivity by removing repetitive tasks.
  7. Core • Model • Tracker • Tuner • AutoClassifier •

    AutoSummarization • AutoTask High Level API Model Training Auto ML BaseModel Metrics • AutoDataset • RayDataset Data Gradsflow
  8. Contribute to GradsFlow • New Idea • Improve Documentation •

    Add Examples • Fix issues • Find/Fix Bugs • Add new feature • Write test cases