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Programmatically access your machine learning system of record Accessing your model weights, metrics, hyperparameters, images,...
Comet.ml allows you to automatically track your machine learning code, experiments, hyperparameters, an...
Our experience hosting New York data scientists and researchers from academia and industry Our speaker Melanie Weber, Columbia PhD candidate, explains how she and her team deve...
In this tutorial, we will illustrate how to build an image recognition model using a convolutional neural network (CNN) i...
Learn how to build and train a deep learning network to recognize numbers (MNIST), how to convert it in the...
Tracking and saving your model results just got that much easier with Comet.ml For many data scientists, Jupyter notebooks have become the tool of choice. Its ability to c...
See how companies like Uber and ZocDoc use machine learning to improve key business metrics Ramping up for the keynotes at Strata Data Conference in New York — ph...
Compare across your model iterations efficiently with rich visualizations to identify your champion model At Comet.ml, we believe that machine learning should be highly iterative, collaborative, and...
Our second post in this series, where the Comet.ml team competes to win the Kaggle Home Credit Def...
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