333 Open source projects that are alternatives of or similar to KerasUI

An Image is Worth 16x16 Words: Transformers for Image Recognition at Scale

A machine learning experiment

Accelerated deep learning R&D

Code and Pretrained model for IGCV3

A smart album for Android which use tensorflow to classify images

Impementation of MobileNetV2 in pytorch

A script in python to organize your images by similarity.

LibFewShot: A Comprehensive Library for Few-shot Learning.

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)

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

Deep Learning API and Server in C++14 support for Caffe, Caffe2, PyTorch,TensorRT, Dlib, NCNN, Tensorflow, XGBoost and TSNE

Bridging the gap Between Stability and Scalability in Neural Architecture Search

Pytorch implementation of pyramidnet

Implementation of Transformer in Transformer, pixel level attention paired with patch level attention for image classification, in Pytorch

[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"

Sandbox for training deep learning networks

PyTorch implementation of "WILDCAT: Weakly Supervised Learning of Deep ConvNets for Image Classification, Pointwise Localization and Segmentation", CVPR 2017

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

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

IdenProf dataset is a collection of images of identifiable professionals. It is been collected to enable the development of AI systems that can serve by identifying people and the nature of their job by simply looking at an image, just like humans can do.

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

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

Real time image classification with React Native and Tensorflow lite.

A curated list of deep learning image classification papers and codes

A TensorFlow implementation of Group Normalization on the task of image classification

Deep learning codes and projects using Python

🐰 Python lib for remo - the app for annotations and images management in Computer Vision

Traffic Sign Recognition with Keras.

Nudity detection with JavaScript and HTMLCanvas

image classifier, retrained for specific classes

A simple, flexible, and extensible template for PyTorch. It's beautiful.

📖 This guide is to help you understand the basics of the computerized image and develop computer vision projects with OpenCV. Includes Python, Java, JavaScript, C# and C++ examples.

A Keras implementation of MobileNetV3.

AiTLAS implements state-of-the-art AI methods for exploratory and predictive analysis of satellite images.

PyTorch-based modular, configuration-driven framework for knowledge distillation. 🏆18 methods including SOTA are implemented so far. 🎁 Trained models, training logs and configurations are available for ensuring the reproducibiliy.

A short tutorial on performing fine tuning or transfer learning in PyTorch.

A specially designed light version of Fast AutoAugment

Chrome browser extension for using TensorFlow image recognition on web pages

AFPlan is an architectural floor plan analysis and recognition system to create extended plans for building services.

TensorFlow implementation of GoogLeNet and Inception for image classification.

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

Scripts for training an AI to play the endless runner Subway Surfers using a supervised machine learning approach by imitation and a convolutional neural network (CNN) for image classification

IPyPlot is a small python package offering fast and efficient plotting of images inside Python Notebooks. It's using IPython with HTML for faster, richer and more interactive way of displaying big numbers of images.

A UI tool for quickly training image classifiers in the browser

Two-Stage Convolutional Neural Network for Breast Cancer Histology Image Classification. ICIAR 2018 Grand Challenge on BreAst Cancer Histology images (BACH)

Binary Image Classification in TensorFlow

Block-wisely Supervised Neural Architecture Search with Knowledge Distillation (CVPR 2020)

Tutorial demonstrating how to create a semantic segmentation (pixel-level classification) model to predict land cover from aerial imagery. This model can be used to identify newly developed or flooded land. Uses ground-truth labels and processed NAIP imagery provided by the Chesapeake Conservancy.

Implementation of EfficientNet model. Keras and TensorFlow Keras.

PyTorch implementation of shake-drop regularization

🔥🔥NSFW implement in pytorch（色情图&性感图识别，本程序经过了线上大数据集测试，性能优异效果良好）🔥🔥

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

An example of using Tensorflow with Unity for image classification and object detection.

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

ML data annotations made super easy for teams. Just upload data, add your team and build training/evaluation dataset in hours.

Balanced Multiclass Image Classification with TensorFlow on Python.

MyBB CAPTCHA Solver using Convolutional Neural Network in Keras

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

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

Image classification for everyone.