440 Open source projects that are alternatives of or similar to Vit

Final Project of the Udacity AI Programming with Python Nanodegree

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

Modernize and Extend: JPetStore on IBM Cloud Kubernetes Service

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.

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

ICCV2021/2019/2017 论文/代码/解读/直播合集，极市团队整理

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

Binary Image Classification in TensorFlow

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

[NeurIPS 2021] Global Filter Networks for Image Classification

A Laravel Package/Facade for the AWS Rekognition API

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

Zalo AI Challenge - Landmark Identification

Bottleneck Transformers for Visual Recognition

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

A photo OCR project aims to output DMS messages contained in sign structure images.

Balanced Multiclass Image Classification with TensorFlow on Python.

Paper notes in deep learning/machine learning and computer vision

🔥🔥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）🔥🔥

Easily train an image classifier and then use it to label/tag other images

Programming assignments, labs and quizzes from all courses in the Coursera AI for Medicine Specialization offered by deeplearning.ai

This project shows how to use CoreML and Vision with a pre-trained deep learning SSD (Single Shot MultiBox Detector) model. There are many variations of SSD. The one we’re going to use is MobileNetV2 as the backbone this model also has separable convolutions for the SSD layers, also known as SSDLite. This app can find the locations of several di…

Deep Learning Computer Vision Algorithms for Real-World Use

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

Player detection and ball detection in football matches using image processing(opencv).

TensorFlow ImageNet demo using ROS sensor_msgs/Image

A Rock-Paper-Scissors game using computer vision and machine learning on Raspberry Pi

Chrome browser extension for using TensorFlow image recognition on web pages

Experiments with Mobile

Handwritten digit recognizer using a feed-forward neural network and the MNIST dataset of 70,000 human-labeled handwritten digits.

A machine learning exercise, using KNN to classify deforested areas

Tool to gather main colors of an image using Unity.

Unofficial Implementation of ECANets (CVPR 2020) for the Reproducibility Challenge 2020.

Channel Pruning for Accelerating Very Deep Neural Networks (ICCV'17)

CNN image classifier implemented in Keras Notebook 🖼️.

.NET Standard bindings for Apache MxNet with Imperative, Symbolic and Gluon Interface for developing, training and deploying Machine Learning models in C#. https://mxnet.tech-quantum.com/

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.

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

A script in python to organize your images by similarity.

LabelD is a quick and easy-to-use image annotation tool, built for academics, data scientists, and software engineers to enable single track or distributed image tagging. LabelD supports both localized, in-image (multi-)tagging, as well as image categorization.

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

Trains a model, then generates a complete Xcode project that uses it - no code necessary

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

Almost any Image classification problem using pytorch

Image classification: efficientnet/resnest/seresnext/.....

The Best Image OCR SDK For BAT

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

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)

Object classification with CIFAR-10 using transfer learning

Labelbox is the fastest way to annotate data to build and ship computer vision applications.

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

AutoML frAmework for Neural Networks

Facial Expression Recognition using Residual Masking Network

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

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

Yandex SDA classes on deep learning. Version of year 2017

基于Tensorflow的常用模型，包括分类分割、新型激活、卷积模块，可在Tensorflow2.X下运行。

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Implementation of the model used in the paper Protest Activity Detection and Perceived Violence Estimation from Social Media Images (ACM Multimedia 2017)