Dhruv Nair |

Machine Learning models tend to perform inconsistently across different parts of a dataset. Summary performance metrics such as AUC, and F1, are not enough to i...

Dhruv Nair |

Hugging Face provides awesome APIs for Natural Language Modeling. In particular, they make working with large transformer models incredibly easy. These models can be used off-the-shelf for text generation, translation, an...

Ken Hoyle |

Comet recently hosted the online panel, “How do top AI researchers from Google, Stanford and Hugging Face approach new M...

Ken Hoyle |

Comet recently hosted the online panel, “How do top AI researchers from Google, Stanford and Hugging Face approach new ML problems?” This is the second post in a series where we recap the q...

Ken Hoyle |

Comet recently hosted the online panel, “How do top AI researchers from Google, Stanford and Hugging Face approach new ...

Dhruv Nair |

Introduction 3D Histograms or Ridge Plots are a great way to visualize the training progress of your Neural Network. Histogram distributions of the weights, gradients, and activations allow us to g...

Doug Blank |

In Machine Learning, a "model" could be anything. The following pasta machine could be described as a model. It takes "input", and a set of "hyperparameters". Well, at least a couple of hyperparameters: the "cutter" d...

Dhruv Nair |

Introduction A confusion matrix is a visual way to inspect the performance of a classification model. Metrics such as accuracy can be inadequate in cases where there are large class imbalances in the data, a p...

Nikolas Laskaris |

Intro by Niko Laskaris We recently released a code-based custom visualization builder called Custom Panels. As part of the rollout, we’re featuring user stories from some of the awesome Rese...

Doug Blank |

Comet Panel Contest Help us build the largest visualization gallery for machine learning! Join thousands of data scientists around the world and submit your panel. The first 200 users to submit a Panel win a free t-shirt (or m...

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