452 Open source projects that are alternatives of or similar to Divide And Co Training

Code for the AAAI 2022 publication "Well-classified Examples are Underestimated in Classification with Deep Neural Networks"

Implementation of Conv-based and Vit-based networks designed for CIFAR.

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

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

Friendly machine learning for the web! 🤖

One-shot learning for image classification using Siamese neural networks

UI for working with Deepstack

Keras/Tensorflow attention models including beit,botnet,CMT,CoaT,CoAtNet,convnext,cotnet,davit,efficientdet,efficientnet,fbnet,gmlp,halonet,lcnet,levit,mlp-mixer,mobilevit,nfnets,regnet,resmlp,resnest,resnext,resnetd,swin,tinynet,uniformer,volo,wavemlp,yolor,yolox

LibFewShot: A Comprehensive Library for Few-shot Learning.

Compare SELUs (scaled exponential linear units) with other activations on MNIST, CIFAR10, etc.

Real time image classification with React Native and Tensorflow lite.

A set of notebooks as a guide to the process of fine-grained image classification of birds species, using PyTorch based deep neural networks.

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

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

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

.NET library to easily create Voice Command Control feature.

Pytorch implementation of pyramidnet

RMDL: Random Multimodel Deep Learning for Classification

📖 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.

A short tutorial on performing fine tuning or transfer learning in PyTorch.

Evaluation of the CNN design choices performance on ImageNet-2012.

TensorFlow implementation of GoogLeNet and Inception for image classification.

Intelligent APIs aim to make machine learning (ML) tasks easier for UWP developers to leverage in their applications without needing ML expertise or creating a new model.

A UI tool for quickly training image classifiers in the browser

Dataset of images of trash; Torch-based CNN for garbage image classification

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.

Final Project of the Udacity AI Programming with Python Nanodegree

Porting pytorch dcgan on FloydHub

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

This repo contains projects created using TensorFlow-Lite on Raspberry Pi and Teachable Machine. AI and ML capabilities have been integrated with Robot's software.

Deep learning codes and projects using Python

ImageNet pre-trained models with batch normalization for the Caffe framework

Nudity detection with JavaScript and HTMLCanvas

This project is to use deep learning to auto classify the scene images with limited amount of training images.

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

Implementation of: "Exploring Randomly Wired Neural Networks for Image Recognition"

A Keras implementation of MobileNetV3.

Introduction to deep learning with Tensorflow.

Zalo AI Challenge - Landmark Identification

A specially designed light version of Fast AutoAugment

Notebooks for Fastai Viusal Guide

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

Train ResNet on ImageNet in Tensorflow 2.0; ResNet 在ImageNet上完整训练代码

Automatic detection of defected solar panel modules

image classification via video input, frame-by-frame

A machine learning exercise, using KNN to classify deforested areas

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.

🔥 Reproducibly benchmarking Keras and PyTorch models

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

Open Set Recognition

[ECCV 2020] Official Pytorch implementation for "Latent Embedding Feedback and Discriminative Features for Zero-Shot Classification". SOTA results for ZSL and GZSL

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST

# This is a image classification by VGG16 pre-trained model.#

Implementation of Resnet-50 with and without CBAM in PyTorch v1.8. Implementation tested on Intel Image Classification dataset from https://www.kaggle.com/puneet6060/intel-image-classification.

Machine Learning platform in-browser for creators

PyTorch-style and human-readable RegNet with a spectrum of pre-trained models

Backprop makes it simple to use, finetune, and deploy state-of-the-art ML models.

Extract deep learning features from images using simple python interface

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

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