How to Get Started With Neptune

This guide will show you how to install neptune-client for Python, connect Neptune to your script & create the first Run, and log metrics to Neptune and see metrics and charts in the Neptune UI.
By the end of it, you will see metadata tracked to your first Run in Neptune!
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Switching from spreadsheets

Switching from Spreadsheets to Neptune.ai and How It Pushed My Model Building Process to the Next Level

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Sacred projects share

How to Make your Sacred Projects Easy to Share and Collaborate on

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Product update neptune new

neptune.new

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MLflow share and collaborate

How to Make your MLflow Projects Easy to Share and Collaborate on

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Experiment tracking in project management

How to Fit Experiment Tracking Tools Into Your Project Management Setup

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Keras Tuner Neptune

Keras Tuner: Lessons Learned From Tuning Hyperparameters of a Real-Life Deep Learning Model

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Tensorboard sharing and collaboration

How to Make your TensorBoard Projects Easy to Share and Collaborate on

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Neptune Pytorch tracking

How to Keep Track of Experiments in PyTorch Using Neptune

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How to Organize Your LightGBM ML Model Development Process – Examples of Best Practices

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Neptune and XGBoost

How to Organize Your XGBoost Machine Learning (ML) Model Development Process – Best Practices

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Colab Neptune

How to Track and Organize ML Experiments That You Run in Google Colab

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How to Keep Track of Deep Learning Experiments in Notebooks

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