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microsoft/tensorwatch

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3,468 Stars·359 Forks·Jupyter Notebook·MIT·5 Aufrufe

Tensorwatch

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Features

  • Explainable AI Libraries - Debugging and visualization tool for deep learning models.
  • Werkzeuge für maschinelles Lernen - Debugging and visualization tool for data science workflows.
  • Machine Learning Visualization - Debugging and visualization tool for data science workflows.
  • MLOps and Infrastructure - Debugging and monitoring for ML.
  • Data Visualization - Debugging and visualization for machine learning.
  • Visualization Tools - Debugging and visualization tool for machine learning.
  • Data Science Tooling - Debugging and visualization for machine learning.
  • Developer Tools - Debugging and monitoring tool.
  • Training and Experimentation - Debugging and monitoring tool for deep learning.
  • Training and Utilities - Debugging, monitoring, and visualization tool.

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Häufig gestellte Fragen

Was macht microsoft/tensorwatch?

Debugging, monitoring and visualization for Python Machine Learning and Data Science

Was sind die Hauptfunktionen von microsoft/tensorwatch?

Die Hauptfunktionen von microsoft/tensorwatch sind: Explainable AI Libraries, Werkzeuge für maschinelles Lernen, Machine Learning Visualization, MLOps and Infrastructure, Data Visualization, Visualization Tools, Data Science Tooling, Developer Tools.

Welche Open-Source-Alternativen gibt es zu microsoft/tensorwatch?

Open-Source-Alternativen zu microsoft/tensorwatch sind unter anderem: lutzroeder/netron — Netron is a visualizer for neural network and machine learning models. It provides a graphical interface that renders… graal-research/pytoune. catalyst-team/catalyst — Accelerated deep learning R&D. dnouri/skorch — Skorch is a deep learning workflow manager and tensor-based model interface. It provides a consistent API for training… ecs-vlc/torchbearer — torchbearer: A model fitting library for PyTorch. pytorch/ignite — Ignite is a high-level training framework for PyTorch neural networks that serves as a training engine and deep…