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StyleGAN: Use machine learning to generate and customize realistic images
Ever wondered what the 27th letter in the English alphabet might look like? Or how your appearance would be twenty…
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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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Detecting objects in videos and camera feeds using Keras, OpenCV, and ImageAI
Object detection is a branch of computer vision, in which visually observable objects that are in images of videos can…
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5 Regression Loss Functions All Machine Learners Should Know
All the algorithms in machine learning rely on minimizing or maximizing a function, which we call “objective function”. The group…
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Building a Neural Network From Scratch Using Python (Part 1)
Artificial intelligence (AI) is a buzzword you see pretty much everywhere around you, even when you’re not looking. It has…
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Building a Neural Network From Scratch Using Python (Part 2)
In the last post, you created a 2-layer neural network from scratch and now have a better understanding of how…
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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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From Observability to Optimization: Announcing the Opik Agent Optimizer Public Beta
At Comet, we’re driven by a commitment to advance innovation in AI, particularly in the realm of LLM observability. Our…
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