CIFAR 10 Image Classification ML Frameworks
Educational projects focused on classifying images from the CIFAR-10 dataset using CNNs and related techniques. Includes hyperparameter tuning, transfer learning, and architectural variations applied specifically to CIFAR-10. Does NOT include general image classification frameworks, other datasets (CIFAR-100, MNIST), or production deployment tools.
There are 90 cifar 10 image classification frameworks tracked. 1 score above 50 (established tier). The highest-rated is liuzhuang13/DenseNet at 51/100 with 4,855 stars.
Get all 90 projects as JSON
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| # | Framework | Score | Tier |
|---|---|---|---|
| 1 |
liuzhuang13/DenseNet
Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award). |
|
Established |
| 2 |
titu1994/DenseNet
DenseNet implementation in Keras |
|
Emerging |
| 3 |
BIGBALLON/cifar-10-cnn
Play deep learning with CIFAR datasets |
|
Emerging |
| 4 |
bamos/densenet.pytorch
A PyTorch implementation of DenseNet. |
|
Emerging |
| 5 |
gpleiss/efficient_densenet_pytorch
A memory-efficient implementation of DenseNets |
|
Emerging |
| 6 |
raghakot/keras-resnet
Residual networks implementation using Keras-1.0 functional API |
|
Emerging |
| 7 |
kratzert/finetune_alexnet_with_tensorflow
Code for finetuning AlexNet in TensorFlow >= 1.2rc0 |
|
Emerging |
| 8 |
weiaicunzai/pytorch-cifar100
Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3,... |
|
Emerging |
| 9 |
jaxony/ShuffleNet
ShuffleNet in PyTorch. Based on https://arxiv.org/abs/1707.01083 |
|
Emerging |
| 10 |
amirassov/kaggle-imaterialist
The First Place Solution of Kaggle iMaterialist (Fashion) 2019 at FGVC6 |
|
Emerging |
| 11 |
FrancescoSaverioZuppichini/ResNet
Clean, scalable and easy to use ResNet implementation in Pytorch |
|
Emerging |
| 12 |
creafz/pytorch-cnn-finetune
Fine-tune pretrained Convolutional Neural Networks with PyTorch |
|
Emerging |
| 13 |
duggalrahul/AlexNet-Experiments-Keras
Code examples for training AlexNet using Keras and Theano |
|
Emerging |
| 14 |
iduta/iresnet
Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf) |
|
Emerging |
| 15 |
Poyu123/CNN-application-on-CRFAR10-picture-distinguish
A hands-on TensorFlow image recognition project teaching a computer to... |
|
Emerging |
| 16 |
shicai/DenseNet-Caffe
DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet |
|
Emerging |
| 17 |
tysam-code/hlb-CIFAR10
Train to 94% on CIFAR-10 in <6.3 seconds on a single A100. Or ~95.79% in... |
|
Emerging |
| 18 |
deep-diver/CIFAR10-img-classification-tensorflow
image classification with CIFAR10 dataset w/ Tensorflow |
|
Emerging |
| 19 |
ddlee-cn/awesome_cnn
A collection of CNN structures, contains PyTorch Implementation and Netscope... |
|
Emerging |
| 20 |
Sakib1263/TF-1D-2D-ResNetV1-2-SEResNet-ResNeXt-SEResNeXt
Models supported: ResNet, ResNetV2, SE-ResNet, ResNeXt, SE-ResNeXt [layers:... |
|
Emerging |
| 21 |
RubixML/CIFAR-10
Use the famous CIFAR-10 dataset to train a multi-layer neural network to... |
|
Emerging |
| 22 |
jhkim89/PyramidNet
Torch implementation of the paper "Deep Pyramidal Residual Networks"... |
|
Emerging |
| 23 |
henrysky/Galaxy10
A CIFAR10-like galaxy image dataset |
|
Emerging |
| 24 |
Sakib1263/DenseNet-1D-2D-Tensorflow-Keras
Models Supported: DenseNet121, DenseNet161, DenseNet169, DenseNet201 and... |
|
Emerging |
| 25 |
nachiket273/pytorch_resnet_rs
Pytorch implementation of "Revisiting ResNets: Improved Training and Scaling... |
|
Emerging |
| 26 |
Sakib1263/MobileNet-1D-2D-Tensorflow-Keras
Supported Models: MobileNet [V1, V2, V3_Small, V3_Large] (Both 1D and 2D... |
|
Experimental |
| 27 |
james77777778/keras-image-models
A library that includes Keras3 layers, blocks and models with pretrained... |
|
Experimental |
| 28 |
Sakib1263/Inception-InceptionResNet-SEInception-SEInceptionResNet-1D-2D-Tensorflow-Keras
Models Supported: Inception [v1, v2, v3, v4], SE-Inception, Inception_ResNet... |
|
Experimental |
| 29 |
purvanshjoshi/Noble-Ensemble-Technical-Suite
Advanced Machine Learning Suite for Fault Diagnostics and 397-Class Scene... |
|
Experimental |
| 30 |
Sakib1263/VGG-1D-2D-Tensorflow-Keras
Models Supported: VGG11, VGG13, VGG16, VGG16_v2, VGG19 (1D and 2D versions... |
|
Experimental |
| 31 |
sondosaabed/Image-Modeling-with-Keras
Understanding images as data, training CNNs, and optimizing their... |
|
Experimental |
| 32 |
TheodorEmanuelsson/CIFAR10-competition_model
Keras implementation of a model for the in-class competition in Neural... |
|
Experimental |
| 33 |
AnasBrital98/CNN-From-Scratch
In this repository you will find everything you need to know about... |
|
Experimental |
| 34 |
mftnakrsu/CIFAR100-CNN-PyTorch
inzva Applied AI Study Group #5 - August 2021 Homework-1 |
|
Experimental |
| 35 |
RafiShaik-AI/modular-image-classification-framework
A modular deep learning framework for training and evaluating image... |
|
Experimental |
| 36 |
LCZ-ctrl/cifar10-vgg16
Classification of the CIFAR-10 dataset implemented in VGG-16 using PyTorch. |
|
Experimental |
| 37 |
AyushPaul28/CIFAR10-Deep-Learning-Comparison--
🖼️ Compare deep learning models on the CIFAR10 dataset with an interactive... |
|
Experimental |
| 38 |
Sheaantisocial810/pytorch-mobilenet-efficiency
🚀 Explore CNN efficiency with PyTorch implementations of MobileNetV1 and V2,... |
|
Experimental |
| 39 |
ghosteater1311/CNN_from_Scratch_in_CIFAR10
This repository studies and implements CNNs from scratch and use pytorch to... |
|
Experimental |
| 40 |
avijit-jana/cnn-architectures-benchmark
A comparative benchmark of popular Convolutional Neural Network... |
|
Experimental |
| 41 |
knjcode/mxnet-finetuner
An all-in-one Deep Learning toolkit for image classification to fine-tuning... |
|
Experimental |
| 42 |
dhanushkamath/CIFAR-10
An IPython notebook demonstrating the process of Transfer Learning using... |
|
Experimental |
| 43 |
L-I-M-I-T/CV_CIFAR10
分别使用KNN和SVM在CIFAR10数据集上进行物体分类任务,后续加入了HOG特征提取对图像做预处理,提高SVM的分类性能。 |
|
Experimental |
| 44 |
kadirnar/Pyorch-LeNet5
PyTorch implementation of LeNet5 |
|
Experimental |
| 45 |
v-garzon/torchresidual
Flexible residual connections for PyTorch with a clean API. Build complex... |
|
Experimental |
| 46 |
ArpitChaudhary1/100-Class-Image-Recognition
Deep learning powered 100 class image classifier optimized using Keras Tuner... |
|
Experimental |
| 47 |
thejvdev/dl-inception-models
Repository for Comparing Inception v3 and Inception v4 Architectures |
|
Experimental |
| 48 |
pablo-reyes8/pytorch-cnn-architectures
Implementation of iconic convolutional neural networks — LeNet-5, AlexNet,... |
|
Experimental |
| 49 |
code-alchemist01/CIFAR10-Deep-Learning-Comparison--
🖼️ CIFAR10 image classification project comparing ResNet18, ResNet34, and... |
|
Experimental |
| 50 |
ataturhan21/Cifar10-Image-Classification
Convolutional Neural Network for CIFAR-10 image classification with data... |
|
Experimental |
| 51 |
MinhLuong-077/IE229.Artificial-Intelligence
pytorch |
|
Experimental |
| 52 |
AliHamzaAzam/image-classification-cnn
CNN implementation for CIFAR-10 image classification with hyperparameter... |
|
Experimental |
| 53 |
Ayaan-Ali-Khan/ILSVRC-Winner-CNN-Architectures-with-Keras
A hands-on exploration of landmark CNN architectures (LeNet, AlexNet, VGG,... |
|
Experimental |
| 54 |
juliana-ng/CIFAR-10-image-classification
Deep Neural Network (DNN) and Convolutional Neural Network (CNN) trained to... |
|
Experimental |
| 55 |
Sondreespe/grayscale-image-recognition
Image recognition modeling of grayscale images. |
|
Experimental |
| 56 |
lakshaybamel/cifar10-cnn-vs-ml-comparison
Comparison of traditional machine learning models and CNN on CIFAR-10,... |
|
Experimental |
| 57 |
jaychampaneri14/transfer-learning-classifier
Fine-tune pretrained models (ResNet, EfficientNet) on custom datasets |
|
Experimental |
| 58 |
jaychampaneri14/resnet-fine-tuning
ResNet fine-tuning toolkit for custom classification tasks |
|
Experimental |
| 59 |
mzquadri/CNN-Image-Classification-PyTorch
Custom CNN for CIFAR-10 image classification built from scratch with PyTorch... |
|
Experimental |
| 60 |
suryansh458/deep-learning-cifar10-routing-net
🖼️ Implement a Routed CNN for CIFAR-10 image classification, showcasing... |
|
Experimental |
| 61 |
rtkervi/cifar10-classifier
Classifier for the CIFAR-10 dataset using CNN |
|
Experimental |
| 62 |
shervinnd/CIFAR-10-Image-Classification-with-CNN
Description: Dive into this exciting project that builds a CNN with... |
|
Experimental |
| 63 |
0-mostafa-rezaee-0/CNN__Convolutional-Neural-Network
End-to-end implementation of Convolutional Neural Networks (CNNs) for image... |
|
Experimental |
| 64 |
elifirinci/cifar-10
This project explores the concept of transfer learning using the CIFAR-10... |
|
Experimental |
| 65 |
gorkemgul/VGG-Hub
A comprehensive collection of PyTorch implementations for the VGG (Visual... |
|
Experimental |
| 66 |
dwday/lbp_tensorflow_python
Fast Local Binary Patterns using TensorFlow |
|
Experimental |
| 67 |
AshkanGanj/CIFAR-10-classification-with-ConvNet-Architecture
CIFAR image classification with convolutional network architecture |
|
Experimental |
| 68 |
abhishek-kathuria/CIFAR100-Image-Classification
Classify CIFAR-100 images using CNN, ResNet and transfer learning using PyTorch |
|
Experimental |
| 69 |
matin-ghorbani/VGGNet-PyTorch
Implement VGGNet from scratch using PyTorch |
|
Experimental |
| 70 |
matin-ghorbani/Inception-Net-from-Scratch
Inception Net Implementation from Scratch using PyTorch |
|
Experimental |
| 71 |
junaidaliop/MobileNetV4
PyTorch replication of the MobileNetV4 Model |
|
Experimental |
| 72 |
Shikha-code36/early-exit-cnn
A deep learning framework that implements Early Exit strategies in... |
|
Experimental |
| 73 |
swarajkumarsingh/cnn-cifar-classification-model
Cifar classification model using Pytorch CNN module with ResNet9 model, with... |
|
Experimental |
| 74 |
AmirAAZ818/Transfer-Learning-Optimization
Implementation of normalization techniques (BatchNorm, LayerNorm, FRN) and... |
|
Experimental |
| 75 |
shahin-ro/CIFAR-10-Image-Detection
A simple CNN model for classifying 10 image categories (e.g., airplanes,... |
|
Experimental |
| 76 |
Anusha-me/Statistical_design_of_experiement-CIFRA-10
Hyperparameter tuning of a Convolutional Neural Network (CNN) for CIFAR-10... |
|
Experimental |
| 77 |
NightInsight/MachineLearning_CNN_CV
Создание и обучение сверточной нейронной сети (CNN) для классификации... |
|
Experimental |
| 78 |
rutujaingole/Deep-Learning-ECE-7123-2025-Spring-Mini-Project
Custom ResNet model from scratch trained on CIFAR-10 for Image... |
|
Experimental |
| 79 |
hoanglechau/channelwise-attention-residual-networks-dl
This project implements a Squeeze-and-Excitation Residual Network... |
|
Experimental |
| 80 |
Yuval-Vino/CIFAR10-classification
Building deep learning architecture to classify CIFAR10 data set |
|
Experimental |
| 81 |
hortus-neu/cifar10-resnet--flask-inference
Transfer learning with ResNet18 on CIFAR-10 and deployment as a Flask... |
|
Experimental |
| 82 |
sezer-muhammed/Resnet10EncoderMLPElementWiseFused
Optimized implementation of a ResNet10 encoder with fused element-wise... |
|
Experimental |
| 83 |
AliKHaliliT/ResNet18-2DD
Custom ResNet18 2D Network with Improved Architecture |
|
Experimental |
| 84 |
AliKHaliliT/BResNet16-2Plus1DD
Bottleneck ResNet16 3D Network using Conv2Plus1D layers with Enhanced Architecture |
|
Experimental |
| 85 |
KianaAbrisham/mlp-pytorch-classifier
PyTorch MLP for tabular classification with early stopping |
|
Experimental |
| 86 |
Moez-lab/cifar10-image-classifier
🧠 A deep learning project using TensorFlow to classify CIFAR-10 images with... |
|
Experimental |
| 87 |
Amirali-SoltaniRad/cifar100-classification
A comprehensive PyTorch project for image classification on CIFAR-100 using... |
|
Experimental |
| 88 |
arm-on/interpretable-image-classification
Interpretability methods applied on image classifiers trained on MNIST and CIFAR10 |
|
Experimental |
| 89 |
AliKHaliliT/BResNet16D-Family
Bottleneck ResNet16 Networks with Enhanced Architecture |
|
Experimental |
| 90 |
yasin-peker/Training-Artificial-Neural-Network
In this project, I performed experiments on artificial neural network (ANN)... |
|
Experimental |