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

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.

PHP API client that handles uploads and further operations with files by wrapping Uploadcare Upload and REST APIs.

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.

A script in python to organize your images by similarity.

图像识别与推荐系统两类

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

This project is a Computer Vision implementation of general hierarchical pattern discovery principles introduced in README

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

Notes for Fastai Deep Learning Course

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

Learning Fine-grained Image Similarity with Deep Ranking is a novel application of neural networks, where the authors use a new multi scale architecture combined with a triplet loss to create a neural network that is able to perform image search. This repository is a simplified implementation of the same

The Best Image OCR SDK For BAT

A list of paper, books and sites for various different topics related to machine learning and deep learning along with various field in which it is implemented

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

Create a smart video application using the Intel Distribution of OpenVINO toolkit. The toolkit uses models and inference to run single-class object detection.

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

Official Repsoitory for "Mish: A Self Regularized Non-Monotonic Neural Activation Function" [BMVC 2020]

Facial Expression Recognition using Residual Masking Network

MemeGen is a web application where the user gives an image as input and our tool generates a meme at one click for the user.

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

Train a TensorFlow model on Kubernetes to recognize art culture based on the collection from the Metropolitan Museum of Art

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.

[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.

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

Packages for image recognition - Robocup TU/e Robotics

Depth estimation with neural network, and learning on RGBD images

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

✅ CODAR is a Framework built using PyTorch to analyze post (Text+Media) and predict Cyber Bullying and offensive content. 💬📷

Sandbox for training deep learning networks

A specially designed light version of Fast AutoAugment

This package is a complete tool for creating a large dataset of images (specially designed -but not only- for machine learning enthusiasts). It can crawl the web, download images, rename / resize / covert the images and merge folders..

A smart album for Android which use tensorflow to classify images

Implementation for <Deep Hyperspherical Learning> in NIPS'17.

On-device image recognition via TensorFlow/Inception. For Cordova/PhoneGap.

Snapchat-like Face Filters in OpenCV

Deploying Keras models using TensorFlow Serving and Flask

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

Knowledge Distillation with Adversarial Samples Supporting Decision Boundary (AAAI 2019)

Implementing Lambda Networks using Pytorch

Combine multiple MNIST digits to create datasets with 100/1000 classes for few-shot learning/meta-learning

Towards Automated Deep Learning: Efficient Joint Neural Architecture and Hyperparameter Search https://arxiv.org/abs/1807.06906

An Embedded Computer Vision & Machine Learning Library (CPU Optimized & IoT Capable)

Best Practices, code samples, and documentation for Computer Vision.

A convolutional neural network implementation of a script that detects whether an individual is wearing a hardhat or not.

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A curated list of deep learning image classification papers and codes

Source code of Indian Paper Currency Prediction 🔥

A collection of computer vision pre-trained models.

A simple artificial intelligence experiment to find out if mobile neural networks can recognize human-made doodles

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Utils for fast.ai course

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

Test Time image Augmentation (TTA) wrapper for Keras model.

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Fast image augmentation library and an easy-to-use wrapper around other libraries. Documentation: https://albumentations.ai/docs/ Paper about the library: https://www.mdpi.com/2078-2489/11/2/125

Deep Learning Food Classifier for iOS using Keras and Tensorflow

TensorFlow Implementation of state-of-the-art models since 2012

Scripts for https://www.nature.com/articles/s41598-018-27707-4, using Convolutional Neural Network to detect lung cancer tumor area