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

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

Neptune - TensorBoard integration 🧩 Experiment tracking with advanced UI, collaborative features, and user access management.
  • Python
  • 13
  • Updated
    on Mar 24

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

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

Sacred-compatible UI for experiment tracking. 📊 Log and visualize machine learning model metrics, hyperparameters, code, dataset versions…
  • Python
  • 5
  • Updated
    on Jun 29

Experiment tracking for fastai. 🧩 Log, organize, visualize and compare model metrics, hyperparameters, dataset versions, and more.
  • Python
  • 4
  • Updated
    on Aug 17, 2023

Experiment tracking for LightGBM. 🧩 Log, organize, visualize and compare model metrics, parameters, dataset versions, and more.
  • Python
  • 3
  • Updated
    on Aug 17, 2023

PyTorch Lightning logger for experiment tracking. 🧩 Monitor model training live, track metrics & hyperparameters, visualize models, and m…
  • Python
  • 3
  • Updated
    on Apr 21, 2022
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Sponsor open source projects you depend on

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