LAMA - automatic model creation framework

• UpdatedApr 14, 2022
• Python

Multi-class metrics for Tensorflow

• UpdatedSep 20, 2022
• Python

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

• UpdatedJul 25, 2024
• Python

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

• UpdatedFeb 19, 2024
• Python

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

• UpdatedDec 3, 2020
• Python

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

• UpdatedAug 12, 2019
• Jupyter Notebook

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

• UpdatedMay 20, 2022

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

• UpdatedMay 28, 2022
• Python

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

• UpdatedMay 20, 2022

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

• UpdatedOct 22, 2020
• Jupyter Notebook

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

• UpdatedAug 11, 2021
• Jupyter Notebook

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

• UpdatedOct 18, 2024
• Python

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

• UpdatedNov 19, 2019
• Jupyter Notebook

Multi-category perceptron training algorithm for digit classification

• UpdatedOct 4, 2018
• Jupyter Notebook

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.

• UpdatedMay 28, 2023
• Python

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

• UpdatedMar 3, 2024
• Jupyter Notebook

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.

• UpdatedMay 9, 2023
• Jupyter Notebook

• UpdatedOct 27, 2017
• MATLAB

Predicts equipments from a hydraulic test rig using machine learning

• UpdatedMar 10, 2025
• Jupyter Notebook

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…

• UpdatedOct 15, 2020
• R