Popular GitHub Repositories for Multilabel Multiclass

Simple Image Heads and Layers for deep learning based computer vision

A Python package implementing a new interpretable machine learning model for text classification (with visualization tools for Explainable AI :octocat:)

The code of CIKM'19 paper《Hierarchical Multi-label Text Classification: An Attention-based Recurrent Network Approach》

Deep Learning sample programs using PyTorch in C++

R package for automation of machine learning, forecasting, model evaluation, and model interpretation

An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.

Annif is a multi-algorithm automated subject indexing tool for libraries, archives and museums.

A bidirectional LSTM with attention for multiclass/multilabel text classification.

A PyTorch-based toolkit for natural language processing

AffordanceNet - Multiclass Instance Segmentation Framework - ICRA 2018

Experiments with UNET/FPN models and cityscapes/kitti datasets [Pytorch]

Unsupervised multilabel image segmentation (color/gray/multichannel) based on the Potts model (aka piecewise constant Mumford-Shah model)

Basic Machine Learning implementation with python

Tensorflow 2 implementation of complete pipeline for multiclass image semantic segmentation using UNet, SegNet and FCN32 architectures on Cambridge-driving Labeled Video Database (CamVid) dataset.

Multiclass image classification using Convolutional Neural Network

TensorFlow in Practice Specialization. Join our Deep Learning Adventures community ? and become an expert in Deep Learning, TensorFlow, Computer Vision, Convolutional Neural Networks, Kaggle Challenges, Data Augmentation and Dropouts Transfer Learning, Multiclass Classifications and Overfitting and Natural Language Processing NLP as well as Time Series Forecasting ? All while having fun learning and participating in our Deep Learning Trivia games ? http://bit.ly/deep-learning-tf

Multi-Label Image Classification of Chest X-Rays In Pytorch

? A Comparative Study on Handwritten Digits Recognition using Classifiers like K-Nearest Neighbours (K-NN), Multiclass Perceptron/Artificial Neural Network (ANN) and Support Vector Machine (SVM) discussing the pros and cons of each algorithm and providing the comparison results in terms of accuracy and efficiecy of each algorithm.

Hierarchical self-organizing maps for unsupervised pattern recognition

Automate detection of different emotions from paragraphs and predict overall emotion.