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SAM + Stable Diffusion for Text-to-Image Inpainting
In this article, we’ll leverage the power of SAM, the first foundational model for computer vision, along with Stable Diffusion,…
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Comet + Snowflake: A Powerful Combination for Better Reproducibility and Visibility Into Your ML Workflow
Companies around the world use Snowflake to securely store, manage and process their data at scale. Teams and organizations who…
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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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