LAMA - automatic model creation framework

Multi-class metrics for Tensorflow

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

This repository contains the implementation for our work "Learning Topological Interactions for Multi-Class Medical Image Segmentation", accepted to ECCV 2022 (Oral)

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

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

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

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

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

This project aims to predict customer booking behaviors by classifying them into three categories: Booked and Canceled Booked and Checked Out Booked and Did Not Show

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

Multi-category perceptron training algorithm for digit classification

This repository contains Python code for rice type detection using multiclass classification. The project leverages the MobileNetV2 architecture to classify six different types of rice: Arborio, Basmati, Ipsala, Jasmine, and Karacadag. The dataset used for training and evaluation can be found on Kaggle and consists of categorized rice images.

We investigated the performance of the Logistic and Multiclass Regression models and compared their accuracies to KNN. We compared Logistic Regression and KNN based on the "IMdB reviews" dataset, while Multiclass Regression and KNN were compared based on the "20 news groups" dataset.

This repository represents a web app with a multi-class classification ML model which creates a segmented image of rocks and plain land.

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 h…

Multi Class Image Classification using Transfer learning with InceptionResNetV2