423 Open source projects that are alternatives of or similar to SimMIM

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

PASSL包含 SimCLR，MoCo v1/v2，BYOL，CLIP，PixPro，BEiT，MAE等图像自监督算法以及 Vision Transformer，DEiT，Swin Transformer，CvT，T2T-ViT，MLP-Mixer，XCiT，ConvNeXt，PVTv2 等基础视觉算法

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

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

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

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.

Deep learning codes and projects using Python

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

🔥🔥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）🔥🔥

A UI tool for quickly training image classifiers in the browser

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

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

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

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

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

TensorFlow implementation of GoogLeNet and Inception for image classification.

Implementation of EfficientNet model. Keras and TensorFlow Keras.

Nudity detection with JavaScript and HTMLCanvas

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

📖 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.

Detecting robot grasping positions with deep neural networks. The model is trained on Cornell Grasping Dataset. This is an implementation mainly based on the paper 'Real-Time Grasp Detection Using Convolutional Neural Networks' from Redmon and Angelova.

A Keras implementation of MobileNetV3.

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

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

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.

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.

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

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

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

A machine learning experiment

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

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.

Image classification for everyone.

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)

Pytorch implementation of pyramidnet

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

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

A smart album for Android which use tensorflow to classify images

Accelerated deep learning R&D

A curated list of deep learning image classification papers and codes

Code and Pretrained model for IGCV3

Bridging the gap Between Stability and Scalability in Neural Architecture Search

CNN image classifier implemented in Keras Notebook 🖼️.

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

.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/

NFNets and Adaptive Gradient Clipping for SGD implemented in PyTorch

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.

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

Almost any Image classification problem using pytorch

Impementation of MobileNetV2 in pytorch

Sandbox for training deep learning networks

Object classification with CIFAR-10 using transfer learning

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

AutoML frAmework for Neural Networks

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

A specially designed light version of Fast AutoAugment

Facial Expression Recognition using Residual Masking Network

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。

A script in python to organize your images by similarity.

[ICRA 2020] Train generalizable policies for kit assembly with self-supervised dense correspondence learning.