pytorch-cnn-classification

Here are 15 public repositories matching this topic...

MarkoArsenovic / DeepLearning_PlantDiseases

Training and evaluating state-of-the-art deep learning CNN architectures for plant disease classification task.

deep-learning pytorch occlusion cnn-classification pytorch-cnn pytorch-classification pytorch-transfer-learning pytorch-cnn-classification pytorch-models deep-learning-visualization pytorch-visualization deep-learning-cnn

Updated Oct 13, 2021
Python

RaffaeleGalliera / pytorch-cnn-text-classification

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Convolutional Neural Network (CNN) for text classification implemented with PyTorch and TorchText

nlp natural-language-processing text-classification word-embeddings cnn pytorch embeddings sentence-classification convolutional-neural-network pytorch-cnn pytorch-cnn-classification pytorch-nlp torchtext pytorch-implementation italian-nlp tensorboardx

Updated Mar 20, 2020
Python

lenoqt / PyTorch

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PyTorch Practice Notebooks

jupyter-notebook python3 pytorch pytorch-tutorial pytorch-cnn pytorch-cnn-classification

Updated Sep 12, 2021
Jupyter Notebook

Implemented fully-connected DNN of arbitrary depth with Batch Norm and Dropout, three-layer ConvNet with Spatial Batch Norm in NumPy. The update rules used for training are SGD, SGD+Momentum, RMSProp and Adam. Implemented three block ResNet in PyTorch, with 10 epochs of training achieves 73.60% accuracy on test set.

pytorch dropout batch-normalization convolutional-neural-networks rmsprop adam-optimizer cifar-10 pytorch-cnn-classification sgd-optimizer cs231n-assignment fully-connected-deep-neural-network sgd-moment

Updated Jul 6, 2018
Jupyter Notebook

OmarKhalil10 / DogBreedSpotter

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DogBreedSpotter is a Python-based image classification project designed to identify and classify dog breeds in images. This project utilizes deep learning models, including convolutional neural networks (CNNs) such as VGG, AlexNet, and ResNet, to accurately detect whether an image contains a dog and, if so, determine the breed.

container-registry gcp-container-builder pytorch-cnn pytorch-cnn-classification deployment-automation gcp-cloud-run gcp-compute-engine

Updated Sep 9, 2023
CSS

danielbruno301 / pytorch-scholarship-challenge

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Codes crafted during the PyTorch Scholarship Challenge, from Facebook and Udacity

udacity pytorch pytorch-tutorials pytorch-cnn-classification pytorch-scholarship-challenge

Updated Jan 10, 2019
Jupyter Notebook

Jayanth-MKV / Landmark-Classification-Tagging-for-Social-Media

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Photo sharing and photo storage services like to have location data for each photo that is uploaded. With the location data, these services can build advanced features, such as automatic suggestion of relevant tags or automatic photo organization, which help provide a compelling user experience.

cnn pytorch cnn-classification pytorch-cnn-classification cnn-from-scratch resnet50 model-creation transfer-learning-with-cnn

Updated Oct 14, 2023
HTML

Chinmaya-3141 / Capstone-Project

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Repository to archive and document work done for satisfying Capstone Project requirements at Praxis Business School.

pytorch pytorch-cnn-classification efficientnet-pytorch efficientnet-b4

Updated Jun 22, 2023
Jupyter Notebook

dnmanveet / Flower-Species-Image-Classifier

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Final Project of Udacity's PyTorch Scholarship Challenge Nanodegree Program

python udacity ai solution udacity-deep-learning flower phase-1 flower-classification pytorch-cnn pytorch-cnn-classification pytorch-scholarship-challenge flower-species deep-ler

Updated May 23, 2019
Jupyter Notebook

Recker-Dev / alzheimer-cnn-tinyVGG16

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This project uses a TinyVGG16-based CNN to classify MRI scans for Alzheimer's Disease stages: Mild Impairment, Moderate Impairment, No Impairment, and Very Mild Impairment. It includes Jupyter notebooks for training and prediction, and a Streamlit app for easy inference. The model achieves high metrics in predicting Alzheimer's stages.