Experiment Tracking

After this skill you can…

• Log experiments with MLflow or Weights & Biases
• Compare runs in the experiment UI
• Register the best model to a model registry

Prerequisites

Watch (10 videos)

An Experiment Tracking Tutorial with Mlflow and Keras

Automata Learning Lab · beginner hands-on

→ Set up experiment tracking with Mlflow→ Monitor ML experiments

Reproducing Machine Learning Experiments with W&B

Weights & Biases · beginner hands-on

→ Use W&B for experiment tracking→ Share machine learning results

Track Your Keras Machine Learning Experiments with Weights & Biases

Weights & Biases · beginner hands-on

→ Set up experiment tracking for Keras models→ Compare model performance with Weights & Biases

Trackio Tutorial: Hugging Face's new, FREE experiment tracking library

Hugging Face · beginner hands-on

→ Use Trackio for local-first experiment tracking→ Integrate Trackio with ML projects

Track Your PyTorch Geometric Machine Learning Experiments with Weights & Biases

Weights & Biases · beginner hands-on

→ Track and visualize machine learning experiments

Track Your PyTorch Machine Learning Experiments with Weights & Biases

Weights & Biases · beginner hands-on

→ Track PyTorch experiments with Weights & Biases→ Visualize machine learning metrics

[old version] Track Your Keras Machine Learning Experiments with Weights & Biases

Weights & Biases · beginner hands-on

→ Log experiment metrics→ Compare model performance

Toyota Research Institute on Experiment Tracking with Weights & Biases

Weights & Biases · beginner hands-on

→ Track experiments with Weights & Biases→ Streamline research workflows

Trackio: A DROP-IN Replacement for W&B that is open-source and 💯 free

HuggingFace · beginner hands-on

→ Use Trackio for experiment tracking→ Replace W&B with Trackio

Track and Evaluate ML Model Experiments

Coursera · advanced hands-on

→ Track ML model experiments→ Evaluate model performance

Read (10 articles)