Several Models involving CNN for 0-9 Digit Classification using MNIST Dataset
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Updated
May 22, 2024 - Jupyter Notebook
Several Models involving CNN for 0-9 Digit Classification using MNIST Dataset
A comprehensive collection of PyTorch implementations for the VGG (Visual Geometry Group) models
Computer vision based ML training data generation tool 🚀
A PyTorch implementation of Neural Style Transfer (Gatys et al. 2015).
mask-to-annotation is a powerful and efficient tool for automatically generating annotations in popular computer vision formats such as COCO, YOLO, and VGG from binary masks.
This project is an approach to the development of plant disease recognition model, based on leaf image classification, by the use of deep convolutional networks. The developed model is able to recognize 38 different types of plant diseases out of of 14 different plants.
This repo implements a VGG model with SPP layer to make it receive images with different shapes, which is then used to classify images of culture relics and compare results under differnt images types - gray images with the same shape, gray images with different shapes, bgr images with the same shape, bgr images with different shapes
Nebula: Lightweight Neural Network Benchmarks
Pytorch project for number detection in images
mask-to-annotation is a powerful and efficient tool for automatically generating annotations in popular computer vision formats such as COCO, YOLO, and VGG from saliency masks.
PyTorch Volume Models for 3D data
Welcome to a diverse collection of hands-on ML, AI, Python, and Data Science projects. Explore and learn through practical applications. Happy coding! 🚀
Funciones utilles para PyTorch.
Photo-Realistic Single Image Super-Resolution Using a Generative Adversarial Network
[WACV 2024] - Reference-based Restoration of Digitized Analog Videotapes
Python library for converting annotated datasets into various formats (e.g., image classification, object detection and speech datasets).
Classification models with pretrained backbones. PyTorch. Easy to use baseline to train your models
OfHSV project using VGG16 and siamese neural network. Very easy. 使用VGG16和孪生神经网络实现离线签名鉴别,极其简单
CBAM: Convolutional Block Attention Module for CIFAR100 on VGG19
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