#Machine Learning

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Dhruv Nair |

In this post, we will showcase a Custom Panel dedicated to debugging object detection models. We will use the Penn-Fudan Pedestrian Detection dataset, along...

#Integrations

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#Tutorials

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 identify the parts of the data where a model need...

#Integrations

#Product

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...

#Product

#Tutorials

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...

#Product

#Productivity

#Tutorials

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...

#Product

#Tutorials

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...

#Product

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...

#Machine Learning

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Gideon Mendels |

In the last three years since Comet was founded, our users and customers trained millions of models on anything from self-driving cars to speech recognition, and from Covid-19 protein prediction ...

#Machine Learning

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Dhruv Nair |

Introduction Model training is arguably the most time consuming, and computationally demanding part of the Machine Learning pipeline. Depending on the complexity of your model, or search space, it ...

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Gideon Mendels |

  Hosted by: Comet.ml and Pearl Cohen This week, we hosted a webinar with the patent experts at Pearl Cohen. During the webinar, Pearl Cohen talks about: Challenges to be aware of when...

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