MLComp
======================================

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    :alt: Build Status

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    :alt: License

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    :alt: Pypi version

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    :alt: Docs


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MLComp is a distributed DAG (Directed acyclic graph) framework for machine learning with UI.

The goal of MLComp is to provide tools for training, inference, creating complex pipelines
(especially for computer vision) in a rapid, well manageable, way.

MLComp is compatible with: Python 3.6+, Unix operation system.

**Features**

- Amazing UI
- `Catalyst <https://github.com/catalyst-team/catalyst>`_ support
- Distributed training
- Supervisor that controls computational resources
- Synchronization of both code and data
- Resource monitoring
- Full-functionally pause and continue on UI
- Auto control of the requirements
- Code dumping(with syntax highlight on UI)
- Kaggle integration
- Hierarchical logging
- Grid search
- Experiments comparison
- Customizing layouts


.. toctree::
   :caption: Overview:
   :maxdepth: 1

   self
   installation
   usage
   layout
   grid_search
   filesync