Introducing Comet Interactive Reports and ML Templates
Workflows and processes are a critical need for every machine learning and AI project. When done well, they can enable…
Using Custom Visualizations to Debug Object Detection Models
Check out Comet's Custom Panel to debug Object Detection Models
Comet ❤️ Hugging Face
Get started with auto-logging model metrics and parameters to Comet from the Hugging Face transformers library.
Logging Histograms, Gradients and Activations with Comet
Introduction 3D Histograms or Ridge Plots are a great way to visualize the training progress of your Neural Network. Histogram…
Debugging Classifiers with Confusion Matrices
A confusion matrix can provide us with a more representative view of our classifier’s performance, including which specific instances it is having trouble classifying.
Introducing Panels: Custom Visualizations for Machine Learning
In the last three years since Comet was founded, our users and customers trained millions of models on anything from…
Predictive Early Stopping – A Meta Learning Approach
Introduction Model training is arguably the most time consuming, and computationally demanding part of the Machine Learning pipeline. Depending on…
