cifar10-classification

pprp/PyTorch-CIFAR-Model-Hub

Implementation of Conv-based and Vit-based networks designed for CIFAR.

batuhan3526/ResNet50_on_Cifar_100_Without_Transfer_Learning

abdelrahman-gaber/Classification-AutoEncoder

The aim of this project is to train autoencoder, and use the trained weights as initialization to improve classification accuracy with cifar10 dataset.

Moddy2024/ResNet-9

Designed a smaller architecture implemented from the paper Deep Residual Learning for Image Recognition and achieved 93.65% accuracy.

p-rit/pytorch-Scholarship-challenge

contains exercise solution

Hunterdii/AI-Nexus

AI Nexus 🌟 is a streamlined suite of AI-powered apps built with Streamlit. It features 👗 StyleScan for fashion classification, 🩺 GlycoTrack for diabetes prediction, 🔢 DigitSense for digit recognition, 🌸 IrisWise for iris species identification, 🎯 ObjexVision for object recognition, and 🎓 GradeCast for GPA prediction with detailed insights.

MahdiNavaei/CIFAR-10-Image-Classification

matlab-deep-learning/convmixer-patches-are-all-you-need

ConvMixer - Patches Are All You Need?

swarajkumarsingh/cnn-cifar-classification-model

Cifar classification model using Pytorch CNN module with ResNet9 model, with CUDA for training to archive 75% accuracy

abhiverse01/Binary-Multi-CNN-CIFAR10

Contains my project code for two CNN models, one trained for binary classification while the other made for multi-class classification. It utillises the CIFAR-10 dataset.

da-da-di/Simsiam-for-CIFAR-10-Chinese

使用了 https://github.com/SaeedShurrab/SimSiam-pytorch 作为Simsiam backbone，添加了中文注释和简单的训练过程

deepmancer/resnet-cifar-classification

A step-by-step implementation of a ResNet-18 model for image classification on the CIFAR-10 dataset

MelihGulum/CIFAR-10-CNN-FLASK-Deployment

Classification of CIFAR dataset with CNN which has %91 accuracy and deployment of the model with FLASK.

pprp/ofa-cifar

:star: Make Once for All support CIFAR10 dataset.

chandra447/SVM-Image-classifier

Implemeting SVM to classify images with hinge loss and the softmax loss.

Hunterdii/DigiPic-Classifier

DigiPic-Classifier is a powerful image classification app built with Streamlit. It features two models: CIFAR-10 Object Recognition to classify objects like airplanes, cars, animals, and more, and MNIST Digit Classification for recognizing handwritten digits. With a sleek interface and real-time predictions, DigiPic-Classifier offers a seamless

Moddy2024/ResNet-18

Implemented the Deep Residual Learning for Image Recognition Paper and achieved better accuracy by customizing different parts of the architecture.

nick8592/ViT-Classification-CIFAR10

This repository contains an implementation of the Vision Transformer (ViT) from scratch using PyTorch. The model is applied to the CIFAR-10 dataset for image classification.

ranjiewwen/TF_cifar10

The cifar10 classification project completed by tensorflow, including complete training, prediction, visualization, independent of each module of the project, and convenient expansion.

ashkanmradi/neural-network-from-scratch

Implementing a neural network classifier for cifar-10

volkansonmez/Neural_Networks_From_Scratch

Deep Learning Projects

baojudezeze/WideResNet-SAM-Optimizer

the CIFAR10 dataset

kusiwu/cifar10-vgg16

Classifies the cifar-10 database by using a vgg16 network. Training, predicting and showing learned filters are included.

Moddy2024/ResNet-34

Implemented Deep Residual Learning for Image Recognition Paper and achieved lower error rate by customizing different parts of the architecture.

QuickLearner171998/CapsNet

CapsNet models

zahramajd/neural-network-from-scratch

building a neural network classifier from scratch using Numpy

AbiXnash/Image-Prediction-CIFAR

This GitHub repository hosts my comprehensive CIFAR-10 image prediction project, which I completed as part of the SmartKnower program. CIFAR-10 is a widely used dataset in computer vision, consisting of 60,000 32x32 color images from 10 different classes.

al3monni/MNIST_CIFAR10_classification_tf2

Vitis AI tutorial for MNIST and CIFAR10 classification

apotursun963/CIFAR-Classifier

Categorizes 10 different classes from CIFAR-10 dataset

ianwolf99/CIFAR10-model-contest

The model design incorporates a compact architecture utilizing depthwise separable convolutions to minimize parameters and FLOPs, inverted residual blocks (inspired by MobileNetV2) to balance depth and width efficiently, and channel reduction techniques.But the model has not reached target of 95% accuracy,I invite other hackers to try. hack

KyriakosPsa/Neural-Networks-Adversarial-Examples

This repository contains code to solve different tasks related to building, training and creating adversarial examples for classification models on the MNIST and CIFAR10 datasets.

MTUCI-Labs/Lab5-Classification

Разработка сверточной нейронной сети для классификации изображений

NightInsight/MachineLearning_CNN_CV

Создание и обучение сверточной нейронной сети (CNN) для классификации изображений из набора данных CIFAR-10 с аугментацией и предотвращением переобучения

shanmukhsrisaivedullapalli/CIFAR10

This project uses TensorFlow to classify images from the CIFAR-10 dataset. It compares the performance of an Artificial Neural Network (ANN) and a Convolutional Neural Network (CNN), covering data preprocessing, model training, evaluation, and prediction on new images.

YeongHyeon/Active-Learning

PyTorch implementation of "Learning Loss for Active Learning"