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The W&B Machine Learning Visualization IDE
Shawn Lewis, Carey Phelps, Stacey Svetlichnaya, John Qian, Kyle Goyette, Tom HolmesOct 12Beginner, Domain Agnostic, W&B Meta, Custom Charts
Plot Precision Recall Curves With Weights & Biases
Stacey SvetlichnayaOct 10Beginner, Computer Vision, Object Detection, Experiment, W&B Meta, CNN, Custom Charts, Panels, Plots, iNaturalist
Ray Tune: Distributed Hyperparameter Optimization at Scale
Ayush Chaurasia, Lavanya ShuklaSep 20Beginner, NLP, GenAI, Ray Tune, W&B Meta, DCGAN, Panels, Plots, Sweeps, MNIST, Image Generation
Organize Your Machine Learning Pipelines With Artifacts in Weights & Biases
Ayush ChaurasiaJul 27Beginner, Computer Vision, Domain Agnostic, Object Detection, PyTorch, W&B Meta, YOLO, Github, Artifacts, Panels, Plots
Exploring Bounding Boxes for Object Detection With Weights & Biases
Stacey SvetlichnayaApr 24Beginner, Computer Vision, Object Detection, W&B Meta, YOLO, Panels, Berkeley Deep Drive, Autonomous Vehicles
Visualize, Track, and Compare fastai Models With Weights & Biases
Boris DaymaApr 17Beginner, Computer Vision, Semantic Segmentation, fastai, Tutorial, W&B Meta, Artifacts, Panels, Plots, Slider
Image Masks for Semantic Segmentation Using Weights & Biases
Stacey SvetlichnayaApr 16Intermediate, Computer Vision, Semantic Segmentation, W&B Meta, Slider, Berkeley Deep Drive
Track Model Performance with Weights & Biases
Lavanya ShuklaFeb 17Beginner, Domain Agnostic, scikit-learn, Tutorial, W&B Meta, Plots, Sweeps, Kaggle
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