cifar10-classification

There are 2 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.
adversarial-training cifar10-classification mnist-classification visualization
Language:Python 253
pprp / PyTorch-CIFAR-Model-Hub
Implementation of Conv-based and Vit-based networks designed for CIFAR.
pytorch image-classification vision-transformer cnn-classification tricks cifar10 cifar10-classification
Language:Python 70
batuhan3526 / ResNet50_on_Cifar_100_Without_Transfer_Learning
resnet-50 resnet pytorch cifar10 cifar-10 cifar10-classification classification pytorch-clas
Language:Jupyter Notebook 16
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.
datascience diabetes-prediction diabetes-risk-prediction gradient-boosting knn-algorithm knn-classification linear-regression machine-learning python3 random-forest-regression streamlit xgboost-algorithm cifar10-classification gpa-prediction iris-flower-classification mnist-classification mnist-fashion-classification keras-classification-models tensorflow-models good-first-issue
Language:Jupyter Notebook 11
Moddy2024 / ResNet-9
Designed a smaller architecture implemented from the paper Deep Residual Learning for Image Recognition and achieved 93.65% accuracy.
cifar cifar10 cifar10-classification cnn convolutional-neural-networks image-classification pytorch-implementation residual-learning residual-neural-network resnet resnets cifar-10-classifier
Language:Jupyter Notebook 9
a64bit / 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.
autoencoders classification cifar10 cifar10-classification autoencoder-classification keras
Language:Python 8
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.
binary cifar10-classification cnn image-classification image-processing machine-learning-algorithms multi-class-classification
Language:Python 8
swarajkumarsingh / cnn-cifar-classification-model
Cifar classification model using Pytorch CNN module with ResNet9 model, with CUDA for training to archive 75% accuracy
cifar10-classification cnn-classification cnn-model cnn-pytorch deep-learning python pytorch supervised-learning traing
Language:Jupyter Notebook 8
deepmancer / resnet-cifar-classification
A step-by-step implementation of a ResNet-18 model for image classification on the CIFAR-10 dataset
cifar cifar10 cifar10-classification deep-neural-networks from-scratch image-classification pytorch pytorch-implementation resnet resnet-18 step-by-step-guide
Language:Jupyter Notebook 7
p-rit / pytorch-Scholarship-challenge
contains exercise solution
mnist-classification fashion-mnist multilayer-perceptron-network nuralnetwork deeplearning transfer-learning cifar10-classification
Language:Jupyter Notebook 7
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.
cifar10 cnn deep-learning dqn early-exit efficient-ai image-classification model-optimization pytorch reinforcement-learning cifar-10 cifar10-classification cnn-pytorch pytorch-cnn
Language:Jupyter Notebook 7
MahdiNavaei / CIFAR-10-Image-Classification
cifar10-classification classification cnn keras-tensorflow picture python
Language:Jupyter Notebook 6
matlab-deep-learning / convmixer-patches-are-all-you-need
ConvMixer - Patches Are All You Need?
matlab deep-learning image-classification cifar10 cifar10-classification example pretrained-models matlab-deep-learning
Language:MATLAB 6
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
cifar10-classification contrastive-learning pytorch simsiam-pytorch
Language:Python 5
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
canvas cifar-10-classifier cifar10-classification classification-model digital-image-processing image-classification image-recognition machine-learning mnist-handwriting-recognition mnist-image-dataset
Language:Jupyter Notebook 5
MelihGulum / CIFAR-10-CNN-FLASK-Deployment
Classification of CIFAR dataset with CNN which has %91 accuracy and deployment of the model with FLASK.
cifar10 cnn deep image-classification tensorflow flask-application flask-web cifar10-classification convoloutional-neural-networks flask
Language:Jupyter Notebook 5
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.
cifar-10 cifar10-classification classification computer-vision deep-learning machine-learning vision-transformer
Language:Jupyter Notebook 5
pprp / ofa-cifar
:star: Make Once for All support CIFAR10 dataset.
nas neural-architecture-search cifar10 cifar10-classification
Language:Python 5
chandra447 / SVM-Image-classifier
Implemeting SVM to classify images with hinge loss and the softmax loss.
svm-classifier softmax hinge-loss image-classification cifar10-classification
Language:Jupyter Notebook 4
Moddy2024 / ResNet-18
Implemented the Deep Residual Learning for Image Recognition Paper and achieved better accuracy by customizing different parts of the architecture.
cifar10-experiment resnet-18 cifar10-classification cosineannealingwarmrestarts residual-networks cifar-10 cifar10 resnet resnets
Language:Jupyter Notebook 4
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.
cifar10-classification tensorflow
Language:Python 4
ashkanmradi / neural-network-from-scratch
Implementing a neural network classifier for cifar-10
neural-network tensorflow adam-optimizer rmsprop gradient-descent cifar10 cifar-10 cifar10-classification computational-graphs confusion-matrix
Language:Python 3
volkansonmez / Neural_Networks_From_Scratch
Deep Learning Projects
neural-network cifar10-classification stochastic-gradient-descent leaky-relu softmax-algorithm
Language:Jupyter Notebook 3
baojudezeze / WideResNet-SAM-Optimizer
the CIFAR10 dataset
cifar10-classification deep-neural-networks wideresnet
Language:Jupyter Notebook 2
kusiwu / cifar10-vgg16
Classifies the cifar-10 database by using a vgg16 network. Training, predicting and showing learned filters are included.
vgg16 keras-tensorflow cifar10-classification tensorflow-prediction vgg16-prediction vgg16-filters vgg16-training tensorflow training python deep-learning tensorflow-model keras-checkpoint tensorboard-visualization vgg16-example vgg16-training-example vgg16-python
Language:Python 2
Moddy2024 / ResNet-34
Implemented Deep Residual Learning for Image Recognition Paper and achieved lower error rate by customizing different parts of the architecture.
cifar10-classification cosine-annealing residual-networks resnet resnet-34 resnets
Language:Jupyter Notebook 2
NightInsight / MachineLearning_CNN_CV
Создание и обучение сверточной нейронной сети (CNN) для классификации изображений из набора данных CIFAR-10 с аугментацией и предотвращением переобучения
python ai cifar10-classification cnn cnn-keras cnn-model tenserflow deep-learning machine-learning
2
priyanshu-kr / jovian_DeepLearning
This repository contains all the work I have done during the course Deep Learning with PyTorch : Zero to GANs under Jovian.ai.
pytorch pytorch-gan tensor image-classification deep-learning mnist-handwriting-recognition cifar10-classification gender-recognition
Language:Jupyter Notebook 2
QuickLearner171998 / CapsNet
CapsNet models
capsule-network computer-vision tensorflow deep-learning neural-network image-classification mnist-kannada-dataset hinton cifar10-classification
Language:Jupyter Notebook 2
al3monni / MNIST_CIFAR10_classification_tf2
Vitis AI tutorial for MNIST and CIFAR10 classification
amd cifar-10 cifar10 cifar10-classification classification cnn cnn-classification fpga kria kv260 mnist mnist-classification tensorflow tensorflow2 vitis-ai vitisai xilinx
Language:Python 1
apotursun963 / CIFAR-Classifier
Categorizes 10 different classes from CIFAR-10 dataset
cifar10-classification
Language:Python 1
ayri77 / CIFAR10-Torch-Classifier
CIFAR-10 Classifier
cifar cifar10-classification pytorch
Language:Jupyter Notebook 1
CIFAR10-model-contest
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
cifar10-classification deep-neural-networks pytorch
Language:Jupyter Notebook 1
Mariam-Badr-MB / Cifar10-Classification
Image classification on the CIFAR-10 dataset using Convolutional Neural Networks (CNNs). The project covers model building, training, evaluation, and visualization using TensorFlow/Keras. Key techniques include normalization, softmax classification, and EarlyStopping regularization.
tensorflow adam-optimizer cifar-10 cifar10-classification cnn-classification image-classification imageprocessing keras-tensorflow loss-functions matplotlib neural-network python
Language:Jupyter Notebook 1
MuhammadTayyebHamid / Cifar-10
Implemented Cifar-10 without using any pre-trained model with an accuracy of 75%.
cifar-10 cnn image-classification machine-learning neural-networks tensorflow deep-learning cifar10-classification cnn-model
Language:Jupyter Notebook 1
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.
cifar10-classification cnn-classification neural-networks numpy pickle pillow python3 tensorflow matplotlib
Language:Jupyter Notebook 1

cifar10-classification

ylsung / pytorch-adversarial-training

pprp / PyTorch-CIFAR-Model-Hub

batuhan3526 / ResNet50_on_Cifar_100_Without_Transfer_Learning

Hunterdii / AI-Nexus

Moddy2024 / ResNet-9

a64bit / Classification-AutoEncoder

abhiverse01 / Binary-Multi-CNN-CIFAR10

swarajkumarsingh / cnn-cifar-classification-model

deepmancer / resnet-cifar-classification

p-rit / pytorch-Scholarship-challenge

Shikha-code36 / early-exit-cnn

MahdiNavaei / CIFAR-10-Image-Classification

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

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

Hunterdii / DigiPic-Classifier

MelihGulum / CIFAR-10-CNN-FLASK-Deployment

nick8592 / ViT-Classification-CIFAR10

pprp / ofa-cifar

chandra447 / SVM-Image-classifier

Moddy2024 / ResNet-18

ranjiewwen / TF_cifar10

ashkanmradi / neural-network-from-scratch

volkansonmez / Neural_Networks_From_Scratch

baojudezeze / WideResNet-SAM-Optimizer

kusiwu / cifar10-vgg16

Moddy2024 / ResNet-34

NightInsight / MachineLearning_CNN_CV

priyanshu-kr / jovian_DeepLearning

QuickLearner171998 / CapsNet

al3monni / MNIST_CIFAR10_classification_tf2

apotursun963 / CIFAR-Classifier

ayri77 / CIFAR10-Torch-Classifier

ianwolf99 / CIFAR10-model-contest

Mariam-Badr-MB / Cifar10-Classification

MuhammadTayyebHamid / Cifar-10

shanmukhsrisaivedullapalli / CIFAR10