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19 results

inneptune-ai (press backspace or delete to remove)

📘 The experiment tracker for foundation model training
  • Python
  • 576
  • Updated
    3 days ago

📝 Examples of how to use Neptune for different use cases and with various MLOps tools
  • Jupyter Notebook
  • 76
  • Updated
    3 days ago

📚 Jupyter Notebooks extension for versioning, managing and sharing notebook checkpoints in your machine learning and data science projects.
  • Python
  • 34
  • Updated
    on Nov 2, 2023

Neptune - MLflow integration 🧩 Experiment tracking with advanced UI, collaborative features, and user access management.
  • Python
  • 31
  • Updated
    on Dec 5, 2023

📌 Track & manage metadata, visualize & compare Kedro pipelines in a nice UI.
  • Python
  • 18
  • Updated
    on Aug 5

📒 The MLOps stack component for experiment tracking (R interface)
  • R
  • 14
  • Updated
    on Oct 5, 2023

🚀 Optuna visualization dashboard that lets you log and monitor hyperparameter sweep live.
  • Python
  • 11
  • Updated
    on Aug 20

Experiment tracking for scikit-learn. 🧩 Log, organize, visualize and compare model metrics, parameters, dataset versions, and more.
  • Python
  • 6
  • Updated
    on Jul 5

Experiment tracking for XGBoost. 🧩 Log, organize, visualize and compare machine learning model metrics, parameters, dataset versions, and…
  • Python
  • 6
  • Updated
    on Sep 14, 2023

💡 Experiment tracking for TensorFlow/Keras. Log, organize, and compare model metrics, learning curves, hyperparameters, dataset versions,…
  • Python
  • 6
  • Updated
    on Jul 9
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