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Model CI/CD with Comet
Machine Learning Teams are moving their models from solutions like Github and storing them in MLOps platforms like Comet. Comet’s…
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Debugging Image Classifiers With Confusion Matrices
Introduction We often rely on scalar metrics and static plots to describe and evaluate machine learning models, but these methods…
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Compare Object Detection Models From TorchVision
Introduction Object detection is one of the most popular applications of machine learning for computer vision. A detection model predicts…
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Reduce Your Model Training Costs With Comet
Model Training is Expensive The cost to train a model is directly proportional to the time it takes to train…
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An Introduction to Multimodal Models
Multimodal Learning seeks to allow computers to represent real world objects and concepts using multiple data streams. This post provides…
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Evaluate Your Team’s ML Maturity
Machine Learning Models are adding tremendous value to businesses in different sectors. For example, Zappos is able to save millions…
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Kangas 2.0: Exploratory Data Analysis for Computer Vision
Today, we’re excited to release version 2.0 of Kangas, our open-source platform for exploring, analyzing, and visualizing multi-media data. Whether…
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Credit Card Fraud Detection With Autoencoders
In this article, we’ll leverage the power of autoencoders to address a key issue for banks and their customers: credit…
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State of the Art MLOps: Efficient Model Management with a Model Registry
The Power of a Model Registry A comprehensive Model Registry is one of the most overlooked components when machine learning…
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Kangas: Visualize Multimedia Data at Scale
Thousands of data scientists use Comet panels, histograms, and reports to visualize data from experiments every day. While we’re proud…