816 Open source projects that are alternatives of or similar to Skin_Lesions_Classification_DCNNs

It contains the coursework and the practice I have done while learning Deep Learning.🚀 👨‍💻💥 🚩🌈

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Fully supervised binary classification of skin lesions from dermatoscopic images using an ensemble of diverse CNN architectures (EfficientNet-B6, Inception-V3, SEResNeXt-101, SENet-154, DenseNet-169) with multi-scale input.

Tensorflow implementation of "Compounding the Performance Improvements of Assembled Techniques in a Convolutional Neural Network"

Practice on cifar100(ResNet, DenseNet, VGG, GoogleNet, InceptionV3, InceptionV4, Inception-ResNetv2, Xception, Resnet In Resnet, ResNext,ShuffleNet, ShuffleNetv2, MobileNet, MobileNetv2, SqueezeNet, NasNet, Residual Attention Network, SENet, WideResNet)

Official Pytorch implementation of ReXNet (Rank eXpansion Network) with pretrained models

Easily train or fine-tune SOTA computer vision models with one open source training library

Supervised Classification of bird species 🐦 in high resolution images, especially for, Himalayan birds, having diverse species with fairly low amount of labelled data

AutoGluon: AutoML for Text, Image, and Tabular Data

CNN image classifier implemented in Keras Notebook 🖼️.

Transfer Learning Suite in Keras. Perform transfer learning using any built-in Keras image classification model easily!

No description or website provided.

A collection of projects which explore image classification on chest x-ray images (via the NIH dataset)

Almost any Image classification problem using pytorch

Image classification for everyone.

Large Scale Fine-Grained Categorization and Domain-Specific Transfer Learning. CVPR 2018

PiGallery: AI-powered Self-hosted Secure Multi-user Image Gallery and Detailed Image analysis using Machine Learning, EXIF Parsing and Geo Tagging

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

35% faster than ResNet: Harmonic DenseNet, A low memory traffic network

RectLabel - An image annotation tool to label images for bounding box object detection and segmentation.

Bottleneck Transformers for Visual Recognition

[IEEE Access] "Head Network Distillation: Splitting Distilled Deep Neural Networks for Resource-constrained Edge Computing Systems" and [ACM MobiCom HotEdgeVideo 2019] "Distilled Split Deep Neural Networks for Edge-assisted Real-time Systems"

DenseNet Caffe Models, converted from https://github.com/liuzhuang13/DenseNet

ImageNet pre-trained models with batch normalization for the Caffe framework

Train the HRNet model on ImageNet

PyTorch to Keras model convertor

Classification models trained on ImageNet. Keras.

Object classification with CIFAR-10 using transfer learning

🙄 Difficult algorithm, Simple code.

Deep Learning: Image classification, feature visualization and transfer learning with Keras

Pre-trained VGG-Net Model for image classification using tensorflow

Deep learning codes and projects using Python

Parametric Contrastive Learning (ICCV2021)

Code for our paper "Generalized Orderless Pooling Performs Implicit Salient Matching" published at ICCV 2017.

A collection of SOTA Image Classification Models in PyTorch

Official repository for the "Big Transfer (BiT): General Visual Representation Learning" paper.

PyTorch to Keras model convertor

Etiketai is an online tool designed to label images, useful for training AI models

Face Recognition with Transfer Learning

[Paper 2020] Towards Better Accuracy-efficiency Trade-offs: Divide and Co-training. Plus, an image classification toolbox includes ResNet, Wide-ResNet, ResNeXt, ResNeSt, ResNeXSt, SENet, Shake-Shake, DenseNet, PyramidNet, and EfficientNet.

Mobilenet V2(Inverted Residual) Implementation & Trained Weights Using Tensorflow

Code for the neural architecture search methods contained in the paper Efficient Forward Neural Architecture Search

利用pytorch实现图像分类的一个完整的代码，训练，预测，TTA，模型融合，模型部署，cnn提取特征，svm或者随机森林等进行分类，模型蒸馏，一个完整的代码

Powerful and efficient Computer Vision Annotation Tool (CVAT)

OpenMMLab Image Classification Toolbox and Benchmark

🍊 🎑 Orange3 add-on for dealing with image related tasks

Implementation code of the paper: FishNet: A Versatile Backbone for Image, Region, and Pixel Level Prediction, NeurIPS 2018

LibFewShot: A Comprehensive Library for Few-shot Learning.

Trial on kaggle imagenet object localization by yolo v3 in google cloud

Classification with PyTorch.

Making decision trees competitive with neural networks on CIFAR10, CIFAR100, TinyImagenet200, Imagenet

Code for CVPR 2019 paper: " Learning Deep Compositional Grammatical Architectures for Visual Recognition"

Pytorch implementation of network design paradigm described in the paper "Designing Network Design Spaces"

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Improved Residual Networks (https://arxiv.org/pdf/2004.04989.pdf)

This implements training of popular model architectures, such as AlexNet, ResNet and VGG on the ImageNet dataset(Now we supported alexnet, vgg, resnet, squeezenet, densenet)

implement AlexNet with C / convolutional nerual network / machine learning / computer vision

Sandbox for training deep learning networks

🖍️ LabelImg is a graphical image annotation tool and label object bounding boxes in images

A tensorflow2 implementation of some basic CNNs(MobileNetV1/V2/V3, EfficientNet, ResNeXt, InceptionV4, InceptionResNetV1/V2, SENet, SqueezeNet, DenseNet, ShuffleNetV2, ResNet).