There are 0 repository under classifier-model topic.
Simplify camera trap image analysis with AI species recognition models based around the MegaDetector model
:radio: Proof-of-concept project for detecting and classifying hyperbolas in ground penetrating radar (GPR) data.
A Machine Learning Model that classifies the data in the images as Sensitive or Non-sensitive.
Machine learning is widely used in bioinformatics and particularly in breast cancer diagnosis. In this project, certain classification methods such as K-nearest neighbors (K-NN) and Support Vector Machine (SVM) which is a supervised learning method to detect breast cancer are used.
A very simple Random Forest Classifier implementation in python.
A Keras deep learning image classifiers on Django server with REST API | Django 图片识别平台
Detecting Malware in PE files
An image recognition model which is capable of identifying the pattern on a dress image
Natural Language Processing of academic papers for dataset indexing
With some projects to develop "TOOLs" for better Modeling
Deploy image classifier on a static website using javascript.
A Simple code to train a CNN to predict label of Covid and Non-Covid CT scan images and an ACGAN to generate them.
Using YOLOv8 to build a Object Classifier/Tracker for RBG/Thermal Cameras
Ozone Day AdaBoostClassifier and Random Forest Tree Classifier with Machine Learning
Data Science project. ML algorithms to detect voice disorders.
IrisWise is a machine learning application for predicting Iris flower species. Built with Streamlit, this app provides a user-friendly interface to input flower measurements and receive predictions using various models, including K-Nearest Neighbors, (Random Forest, SVM, and Logistic Regression) **(Working On It...)**.
To build an AI-based classifier model to assign the tickets to right functional groups by analyzing the given description
Tiny and fast FQDN classifier to detect malicious domains
This repository contains a machine learning model that predicts SMS spam, with data cleaning, EDA, and preprocessing. The model has been deployed using Streamlit, and code and necessary files are included.
Academic project for Advances in Data Science and Architecture course
A convolutional neural network which classifies music genres based on spectrograms.
A simple Streamlit App to classify swahili news into different categories.
A classifier to differentiate between Cat and Non-Cat Images
Classification of Clear Cell Renal Cell Carcinoma using CT textural feature analysis
Experimental MIDI classifier transformer implementation and model
Music genre Classification with different models fine tuning and performance comparisons
Japanese derogatory text classifier
A Keras deep learning image classifiers on Django server with REST API | Django 图片识别平台V2
Implementation for easy Age, Gender, Ethnicity classification. Also provides face detection and face recognition using a pre-trained CNN file from dlib and OpenCV.
The Cat and Dog Image Classifier is a deep learning-based computer vision project designed to classify images as either cats or dogs. Using Convolutional Neural Networks (CNNs), the model learns patterns from a dataset of labeled images and accurately predicts the category of new images.
A telegram channel parser + binary text classifier utilizing a simple logistic regression model