multiclass

guillaumegenthial/tf_metrics

Multi-class metrics for Tensorflow

gasparian/multiclass-semantic-segmentation

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

TopoXLab/TopoInteraction

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

GlassyWing/yolo_deepsort

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

AlessandroVol23/kdd-cup-2019

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

SicongLiuRS/Hyperspectral-Change-Detection-Dataset-Irrigated-Agricultural-Area

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

gazelle93/Multiclass-Focal-loss-pytorch

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

SicongLiuRS/Hyperspectral-Change-Detection-Dataset-Wetland-Area

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

Areesha-Tahir/K-Means-And-KNN-On-MultiClass-Dataset

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

morpheusthewhite/ml-challenge-multiclass

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

deepankarvarma/Rice-MultiClass-Image-Classification-OpenCV-Keras-Tensorflow

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.

Enzo2806/Logistic-Multiclass

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.

shahjui2000/ML_codes

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

ShrirangKanade/Obstacle_Detection_on_Lunar_Surface_using_U-Net

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

tanveertshaikh/mnist-multiclass-pta

Multi-category perceptron training algorithm for digit classification

addicteduser/dnd-hp-calc-discordbot

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.

msdhina/ImageClassificationTransferLearning

Multi Class Image Classification using Transfer learning with InceptionResNetV2

prabhuvkr/soccer-game-prediction

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.

SidduSai/Multi-Class-Logistic-Regression

amoazeni75/multiclass-Classification-ML

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

jElhamm/Multiclass-SVM-Softmax-Classifier

"This program trains a model using 'SVM' or 'Softmax' and predicts the input data. Loss history and predicted tags are displayed as results."

umangdubey/performance_metrics_for_machine_learning_algorithm

performance metrics for multi class in machine learning with codes