cuCIM - RAPIDS GPU-accelerated image processing library
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Updated
Sep 19, 2025 - Jupyter Notebook
cuCIM - RAPIDS GPU-accelerated image processing library
Invariant representation learning from imaging and spectral data
Deep Bayesian Active Learning with Image Data by Gal et al. (ICML 2017)
Automatic Number Plate Recognition with YOLOv5 and PyTorch
Wrangle messy numerical, image, and text data into consistent well-organized formats
💇♀️ Function for trimming/cropping surround pixels in an ImageData-instance.
✂️ Function for cropping an image through its ImageData.
A proposed algorithm to recognize Baybayin writing system using support vector machine.
Data sets and code for using machine learning to detect globular clusters in photometric data.
A library for deriving color data from image files
Image and video data released into the public-domain
Contains pytorch implementation of image style transfer paper released in 2016.
Capstone project for Master of Science in Data Analytics at CCT college. Title Federated Learning: Evaluating Popular Frameworks and Developing a Cross-Client Horizontal Server.
Playing to get some data through web scraping🕵
Repository containing all the HawAPI images
A unique and secure way of storing image data. Formerly XFN.
An ANN is trained using PyTorch to classify Fashion MNIST images. The process includes loading image data from a CSV, preprocessing it, building the model, training with labeled data, and evaluating accuracy on test data. and new add GPU to all data if run then want GPU in system
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