multiclass

LAMA - automatic model creation framework

Multi-class metrics for Tensorflow

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

Fast MOT base on yolo+deepsort, support yolo3 and yolo4

Repository for KDD-Cup 2019 with Baidu. Big Data Science practical course @ LMU

This is an implementation of multi-class focal loss in PyTorch.

A hyperspectral data set can be used for testing binary and multi-class change detection techniques.

A hyperspectral data set can be used for testing binary and multi-class change detection techniques.

Applying K Means and KNN on a multiclass dataset to make clusters and find nearest neighbours.

Pseudo-Inverse, Gradient-Stochastic-Steepest Descent, Logistic Regression and LDA-QDA

Multi-category perceptron training algorithm for digit classification

I am interested in exploring machine learning techniques to predict the outcome of a European soccer game using game and player information collected. The generated predictive model will be able to predict the outcome of a game as Win, Loss or Draw for the home team. This model will use various attributes that are calculated each year for both home and away team. Use cases of this predictive model are setting betting odds and calculating fantasy league score weights.

Multi Class Image Classification using Transfer learning with InceptionResNetV2

A jupyter notebook for analyzing and estimating with sklearn a multiclass classification problem for the Machine Learning (DD2421) course

Discord Bot for computing your AL D&D 5e character's hit points, given the Constitution modifier, its classes and levels, and other HP modifiers such as Tough feat or being a Hill Dwarf.

performance metrics for multi class in machine learning with codes

In this project tutorial we will discover how we can use Keras to develop and evaluate neural network models for multiclass classification problems