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aporia-ai avatar

aporia-ai/mlnotify

0
View on GitHub↗
343 stars·18 forks·Vue·MIT·9 viewsmlnotify.aporia.com↗

Mlnotify

πŸ”” No need to keep checking your training - just one import line and you'll know the second it's done.

Features

  • Simplification Tools - Automatically notifies users when training jobs complete.

Star history

Star history chart for aporia-ai/mlnotifyStar history chart for aporia-ai/mlnotify

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Projects sharing features with Mlnotify

These projects share indexed features with Mlnotify. Shared tags can include platform or build tooling; verify the primary use case before treating a result as a replacement.
  • apple/turicreateapple avatar

    apple/turicreate

    11,171View on GitHub↗

    This project is an automated machine learning framework and toolkit designed for training and tuning custom models for classification, regression, and recommendations. It functions as a multimodal machine learning toolkit capable of processing and training models using a combination of text, image, audio, and sensor data. The framework distinguishes itself as a multimodal data processor that can handle and visualize large datasets on a single machine using column-oriented disk storage. It includes a core machine learning model generator that converts trained models into formats compatible wit

    C++
    View on GitHub↗11,171
  • databricks/koalasdatabricks avatar

    databricks/koalas

    3,373View on GitHub↗

    Koalas: pandas API on Apache Spark

    Python
    View on GitHub↗3,373
  • facebookresearch/hydrafacebookresearch avatar

    facebookresearch/hydra

    10,449View on GitHub↗

    Hydra is a hierarchical configuration framework and type-safe configuration manager. It is designed to manage complex application settings through composable configuration files and command-line overrides, ensuring that configuration values match expected data types during instantiation. The framework functions as a dynamic object instantiator that creates class instances directly from hierarchical configuration values and nested objects. It also operates as a hyperparameter sweep orchestrator and cluster job launcher, enabling the execution of multiple application runs across parameter range

    Python
    View on GitHub↗10,449
  • a3data/hermionea3data avatar

    a3data/hermione

    209View on GitHub↗

    ML made simple

    Jupyter Notebook
    View on GitHub↗209
Compare all 9 related projects→

Frequently asked questions

What does aporia-ai/mlnotify do?

πŸ”” No need to keep checking your training - just one import line and you'll know the second it's done.

What are the main features of aporia-ai/mlnotify?

The main features of aporia-ai/mlnotify are: Simplification Tools.

Which projects share features with aporia-ai/mlnotify?

Projects with overlapping indexed features include: a3data/hermione β€” ML made simple. apple/turicreate β€” This project is an automated machine learning framework and toolkit designed for training and tuning custom models for… databricks/koalas β€” Koalas: pandas API on Apache Spark. facebookresearch/hydra β€” Hydra is a hierarchical configuration framework and type-safe configuration manager. It is designed to manage complex… jrieke/traingenerator β€” πŸ§™ A web app to generate template code for machine learning. kenza-ai/sagify β€” LLMs and Machine Learning done easily.