Multi-class confusion matrix library in Python
-
Updated
Nov 16, 2024 - Python
Multi-class confusion matrix library in Python
Fast and customizable framework for automatic ML model creation (AutoML)
An (unofficial) implementation of Focal Loss, as described in the RetinaNet paper, generalized to the multi-class case.
A library for multi-class and multi-label classification
Image classification on Tiny ImageNet
Balanced Multiclass Image Classification with TensorFlow on Python.
Hierarchical self-organizing maps for unsupervised pattern recognition
AI & Machine Learning: Detection and Classification of Network Traffic Anomalies based on IoT23 Dataset
alternative illustration2vec implitation of sigmoids of fully connected layer
This repository is containing an object classification & localization project for SINGLE object.
🔱 Some recognized algorithms[Decision Tree, Adaboost, Perceptron, Clustering, Neural network etc. ] of machine learning and pattern recognition are implemented from scratch using python. Data sets are also included to test the algorithms.
Multiple Class Flower Image Classification CNN using Keras
Open source implementation of Logical Analysis of Data (LAD) Algorithm.
An easy-to-use scikit-learn inspired implementation of the Multidimensional Multiclass Genetic Programming with Multidimensional Populations (M3GP) algorithm
This repository contains Python code for an age and gender detection project using the video stream from the camera. The model is trained on the UTKFace dataset and utilizes deep learning techniques for accurate age and gender estimation. The code includes scripts for data preprocessing, model training, and real-time detection from the camera.
User-shelf interaction classification
This repository contains Python code for handwritten recognition using OpenCV, Keras, TensorFlow, and the ResNet architecture. The project utilizes two datasets: the standard MNIST 0-9 dataset and the Kaggle A-Z dataset. The OCR model is trained using Keras and TensorFlow, while OpenCV is used for image pre-processing.
A tensorflow application with 11 different types of image classification (4 for binary and 7 for multiclass classifications).
Add a description, image, and links to the multiclass-classification topic page so that developers can more easily learn about it.
To associate your repository with the multiclass-classification topic, visit your repo's landing page and select "manage topics."