cifar10-classification
There are 103 repositories under cifar10-classification topic.
ylsung/pytorch-adversarial-training
PyTorch-1.0 implementation for the adversarial training on MNIST/CIFAR-10 and visualization on robustness classifier.
pprp/PyTorch-CIFAR-Model-Hub
Implementation of Conv-based and Vit-based networks designed for CIFAR.
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.
Moddy2024/ResNet-9
Designed a smaller architecture implemented from the paper Deep Residual Learning for Image Recognition and achieved 93.65% accuracy.
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.
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.
deepmancer/resnet-cifar-classification
A step-by-step implementation of a ResNet-18 model for image classification on the CIFAR-10 dataset
p-rit/pytorch-Scholarship-challenge
contains exercise solution
Shikha-code36/early-exit-cnn
A deep learning framework that implements Early Exit strategies in Convolutional Neural Networks (CNNs) using Deep Q-Learning (DQN). This project enhances computational efficiency by dynamically determining the optimal exit point in a neural network for image classification tasks on CIFAR-10.
matlab-deep-learning/convmixer-patches-are-all-you-need
ConvMixer - Patches Are All You Need?
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
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
MelihGulum/CIFAR-10-CNN-FLASK-Deployment
Classification of CIFAR dataset with CNN which has %91 accuracy and deployment of the model with FLASK.
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.
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.
Moddy2024/ResNet-18
Implemented the Deep Residual Learning for Image Recognition Paper and achieved better accuracy by customizing different parts of the architecture.
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
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
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.
talhayaseen57/cifar-net
Experience CIFAR-Net, a streamlined Python solution for classifying CIFAR-10 images with precision. Train, test, and predict effortlessly using our efficient CNN architecture and automation scripts. Dive into diverse datasets, make accurate predictions, and redefine image classification with ease! 🌟
YeongHyeon/Active-Learning
PyTorch implementation of "Learning Loss for Active Learning"
zahramajd/neural-network-from-scratch
building a neural network classifier from scratch using Numpy