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X-WR-CALDESC:Events for PyTorch
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DTSTART;TZID=UTC:20250327T120000
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SUMMARY:Using PyTorch and DINOv2 for Multi-label Plant Species Classification
DESCRIPTION:Speaker: Murilo Gustineli \nJoin us for an engaging webinar on our innovative transfer learning approach using self-supervised Vision Transformers (DINOv2) for multi-label plant species classification in the PlantCLEF 2024 challenge. We’ll cover how we efficiently extract feature embeddings from a dataset of 1.4 million images and utilize PyTorch Lightning for model training and Apache Spark for data management. Learn about our image processing techniques\, including transforming images into grids of tiles and aggregating predictions to overcome computational challenges. Discover the significant performance improvements achieved and get insights into multi-label image classification. Perfect for PyTorch developers\, this session will include a Q&A and access to our complete codebase at github.com/dsgt-kaggle-clef/plantclef-2024. \nMurilo Gustineli is a Senior AI Software Solutions Engineer at Intel\, and is currently pursuing a Master’s in Computer Science at Georgia Tech focusing on machine learning. His work involves creating synthetic datasets\, fine-tuning large language models\, and training multi-modal models using Intel® Gaudi® Al accelerators as part of the Development Enablement team. He is particularly interested in deep learning\, information retrieval\, and biodiversity research\, aiming to improve species identification and support conservation efforts. Visit Murilo on GitHub. \n Watch the recording:
URL:https://pytorch.org/event/using-pytorch-and-dinov2-for-multi-label-plant-species-classification-2/
CATEGORIES:PyTorch-hosted
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DTSTART;TZID=UTC:20250330T130000
DTEND;TZID=UTC:20250330T180000
DTSTAMP:20260427T072845
CREATED:20250317T154632Z
LAST-MODIFIED:20250328T113137Z
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SUMMARY:PyTorch KR Conference
DESCRIPTION:Location: Seoul\, Republic of Korea \nHear from speakers from the PyTorch Foundation\, Meta\, FuriosaAI\, Lablup\, Nota AI\, Rebellions\, etc. \nEvent Info
URL:https://pytorch.org/event/pytorch-kr-conference/
CATEGORIES:PyTorch-hosted
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