Weights & Biases

Graph Neural Networks (GNNs) with Learnable Structural and Positional Representations

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PoE-GAN: Generating Images from Multi-Modal Inputs

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Tables Tutorial: Visualize Data for Image Classification

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Tutorial: Evaluating single-image 3D reconstruction
In this article, we'll build a complete evaluation pipeline for SHARP using the Middlebury stereo dataset.
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Jan 27, 2026

LLaVA-o1: Advancing structured reasoning in vision-language models
Discover how LLaVA-o1 tackles reasoning challenges in multimodal AI with structured problem-solving. Learn about its dataset, capabilities, and performance analysis using W&B Weave.
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Dec 03, 2024

Working with Pixtral Large for visual chart understanding
A battle between Open Source Pixtral Large and closed source foundation models like Claude 3.5 Sonnet and GPT-4o Vision
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Nov 19, 2024

Vision fine-tuning GPT-4o on a custom dataset
Learn to vision fine-tune GPT-4o on a custom dataset, with evaluation and tracking.
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Oct 11, 2024

Using Segment Anything 2 with Weights & Biases
In this tutorial, we will cover how to use the Segment Anything 2 model using the Weights & Biases to log segmentation masks from automatic or prompted mask generation.
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Sep 24, 2024

How to fine-tune YOLO V9 on a custom dataset with W&B
Fine tuning one of the best detection models!
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Aug 01, 2024

Self-Supervised Image Recognition with IJEPA
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Jul 12, 2024

*Additional articles available on Weights & Biases blog.