Jupyter Notebook pretrained-weights

Open-source Jupyter Notebook projects categorized as pretrained-weights
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Topics: Pytorch Deep Learning object-detection Computer Vision semantic-segmentation
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Top 3 Jupyter Notebook pretrained-weight Projects

  • super-gradients

    Easily train or fine-tune SOTA computer vision models with one open source training library. The home of Yolo-NAS.

    • Project mention: Zero-Shot Prediction Plugin for FiftyOne | dev.to | 2024-03-13

    Most computer vision models are trained to predict on a preset list of label classes. In object detection, for instance, many of the most popular models like YOLOv8 and YOLO-NAS are pretrained with the classes from the MS COCO dataset. If you download the weights checkpoints for these models and run prediction on your dataset, you will generate object detection bounding boxes for the 80 COCO classes.

  • Entity

    EntitySeg Toolbox: Towards Open-World and High-Quality Image Segmentation

  • InfluxDB

    Power Real-Time Data Analytics at Scale. Get real-time insights from all types of time series data with InfluxDB. Ingest, query, and analyze billions of data points in real-time with unbounded cardinality.

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  • HIPT

    Hierarchical Image Pyramid Transformer - CVPR 2022 (Oral)

NOTE: The open source projects on this list are ordered by number of github stars. The number of mentions indicates repo mentiontions in the last 12 Months or since we started tracking (Dec 2020).

Jupyter Notebook pretrained-weights related posts

  • GitHub - Deci-AI/super-gradients: Easily train or fine-tune SOTA co...GitHub - Deci-AI/super-gradients: Easily train or fine-tune SOTA co...

    1 project | /r/thirdbrain | 12 May 2023

  • Meet YOLO-NAS: An Open-Sourced YOLO-based Architecture Redefining State-of-the-Art in Object Detection

    1 project | /r/machinelearningnews | 8 May 2023

Index

What are some of the best open-source pretrained-weight projects in Jupyter Notebook? This list will help you:

Project Stars
1 super-gradients 4,332
2 Entity 668
3 HIPT 455

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