333 Open source projects that are alternatives of or similar to Igcv3

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)

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

Object classification with CIFAR-10 using transfer learning

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

A script in python to organize your images by similarity.

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

AutoML frAmework for Neural Networks

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

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

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

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。

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

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

A collection of computer vision pre-trained models.

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

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

A smart album for Android which use tensorflow to classify images

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

Implementing Lambda Networks using Pytorch

PyTorch extensions for fast R&D prototyping and Kaggle farming

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

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

🙄 Difficult algorithm, Simple code.

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

A curated list of deep learning image classification papers and codes

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

Deep Learning Food Classifier for iOS using Keras and Tensorflow

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

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

Implementation of Quickdraw - an online game developed by Google

Image Tampering Detection using ELA and CNN

cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集，极市团队整理

Bridging the gap Between Stability and Scalability in Neural Architecture Search

Food Classification with Deep Learning in Keras / Tensorflow

PyTorch baseline for AI challenger Scene classification

A treasure chest for image classification powered by PaddlePaddle

A machine learning experiment

Label Studio is a multi-type data labeling and annotation tool with standardized output format

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

A Guidance on PyTorch Coding Style Based on Kaggle Dogs vs. Cats

CNN image classifier implemented in Keras Notebook 🖼️.

猫狗大战

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

OpenMMLab Image Classification Toolbox and Benchmark

Sandbox for training deep learning networks

Residual Attention Network for Image Classification

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

Gluon CV Toolkit

.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/

Efficient Learning of Augmentation Policy Schedules

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

Inspired by HBO's Silicon Valley: SeeFood is an iOS app that uses CoreML to detect various dishes

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.

MARTA GANs: Unsupervised Representation Learning for Remote Sensing Image Classification

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

A Keras implementation of MobileNetV3.

A specially designed light version of Fast AutoAugment

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

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

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