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

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

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

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

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

Image Classification on CIFAR-10 Dataset using Multi Layer Perceptrons in Python from Scratch.

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

A collection of computer vision pre-trained models.

Image Tampering Detection using ELA and CNN

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

A Pytorch implementation of Global Self-Attention Network, a fully-attention backbone for vision tasks

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

Implementation of Quickdraw - an online game developed by Google

Train and predict your model on pre-trained deep learning models through the GUI (web app). No more many parameters, no more data preprocessing.

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

Deep Learning Food Classifier for iOS using Keras and Tensorflow

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

Use of Attention Gates in a Convolutional Neural Network / Medical Image Classification and Segmentation

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

Implementing Lambda Networks using Pytorch

PyTorch extensions for fast R&D prototyping and Kaggle farming

A (PyTorch) imbalanced dataset sampler for oversampling low frequent classes and undersampling high frequent ones.

Implementation of the paper "A Hierarchical Grocery Store Image Dataset with Visual and Semantic Labels"

PyTorch baseline for AI challenger Scene classification

Source code for 'ISIC 2018: Skin Lesion Analysis Towards Melanoma Detection' - Task 3 (Classification)

TensorFlow ImageNet demo using ROS sensor_msgs/Image

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

Experience, Learn and Code the latest breakthrough innovations with Microsoft AI

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

[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.

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

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..

Reference implementation for Blueprint Separable Convolutions (CVPR 2020)

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

Deploying Keras models using TensorFlow Serving and Flask

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

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

A tool for quickly training image classifiers in the browser

Utils for fast.ai course

Object Recognition using TensorFlow and Java

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

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

PyTorch tutorials and fun projects including neural talk, neural style, poem writing, anime generation (《深度学习框架PyTorch：入门与实战》)

Retrained InceptionV3 image classification model

Official Implementation of 'Fast AutoAugment' in PyTorch.

Ipython Notebooks for solving problems like classification, segmentation, generation using latest Deep learning algorithms on different publicly available text and image data-sets.

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

A simple example on Image Classification in Node.js with TensorFlow.js

Source code of Indian Paper Currency Prediction 🔥

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

An AI based application to identify currency and gives audio feedback.

ECCV 2020 论文开源项目合集，同时欢迎各位大佬提交issue，分享ECCV 2020开源项目

WB color augmenter improves the accuracy of image classification and image semantic segmentation methods by emulating different WB effects (ICCV 2019) [Python & Matlab].

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.

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。

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

🙄 Difficult algorithm, Simple code.

Towards Building an Intelligent Anti-Malware System: A Deep Learning Approach using Support Vector Machine for Malware Classification

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