There are 4 repositories under classifiers topic.
Formed trajectories of sets of points.Experimented on finding similarities between trajectories based on DTW (Dynamic Time Warping) and LCSS (Longest Common SubSequence) algorithms.Modeled trajectories as strings based on a Grid representation.Benchmarked KNN, Random Forest, Logistic Regression classification algorithms to classify efficiently trajectories.
A Zeek script to generate features based on timing, volume and metadata for traffic classification.
In this work, we propose a deterministic version of Local Interpretable Model Agnostic Explanations (LIME) and the experimental results on three different medical datasets shows the superiority for Deterministic Local Interpretable Model-Agnostic Explanations (DLIME).
All Machine Learning Algorithms
Fake News Detection - Feature Extraction using Vectorization such as Count Vectorizer, TFIDF Vectorizer, Hash Vectorizer,. Then used an Ensemble model to classify whether the news is fake or not.
ACL 2021 paper "Style is NOT a single variable: Case Studies for Cross-Style Language Understanding " by Dongyeop Kang and Eduard Hovy
The main aim of the project is to develop a sentiment analyzer that can be used on twitter data to classify it as positive or negative. Our project takes care of the challenge of bilingual comments, where people tweet in two languages, in this case Hindi and English, in the Latin Alphabet.
Machine Learning Modelling On Regression & Classification Problems
ObjectDetector uses OpenCV Haar cascade classifiers to detect different objects in images and videos with Python. For now, this repository includes my trained haar cascade classifier for detecting cars, the default haar cascade classifier for human faces (haarcascade_frontalface_default), a classifier for bananas from CodingRobin and a classifier for wallclocks which are used and tested in programs, detecting the objects from image/video, comparison between different human body parts classifiers and some other programs, which (will) help training the classifiers (for example, a program downloading the "cat box" synset images from ImageNet).
Deploy image classifier on a static website using javascript.
Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.
Library for computing classifier Learning Curves & iPython notebooks to improve your learning curve for using Learning Curves for ML research and practice!
This is an official Leaderboard for the RuSentRel-1.1 dataset originally described in paper (arxiv:1808.08932)
Various classifiers using bayesian networks, for Knowledge Representation class at UNIBO
🏀 Hardcoded ML classifiers from scratch to create predictive models on the outcomes of NBA games!
Airbnb Price in NYC ( Select Boroughs )
An AI application that can detect the smile on the face(s) in real time i-e from a webcam or even a captured video.
Comitê de Classificadores | Projeto N1
Fake News Detection on Liar dataset
Making a dataset of poems and try categorising them in 4 genres using two different classifiers.
A research on how macroeconomic, microeconomic factors and personal data could affect mortgage risk using Machine Learning techniques.
Machine learning course for graduate students
A convolutional neural network for human emotion classification
Following tutorials from Josh Gordon.
😨 Detects faces by using OpenCV which is computer vision interface library or platform like Matlab. OpenCV provides classifiers for detecting a different type of objects by using a different kind of sensors and cameras.
Machine Learning classifier comparison GUI application. Choose 21 classifiers, evaluation data (optional for evaluation of synthetic data), hyperparameters, cross-validation splits, and rng seed; tabulates, and visualizes in Parallel Coordinates: best, worst, average, and standard deviation of Accuracy/F1/Recall.
Step-by-step guide to creating a neural network from scratch in Python.
LumeNN is an application that solves problem of binary and multiclass classification of stars with variable luminosity with the usage of different machine learning models.
song_tagger is a project which uses multiple naive-Bayesian classifiers (via nltk.NaiveBayesClassifier) to tag songs based off of profanity, drug references, sexual references, and violent language.
Combinin' several ML techniques into one predictive model.
Hotspotter is software used to classify energetic hot spots of protein:protein interaction
Photometric light curves classification with machine learning
Various classifiers are trained with forum posts labelled either neutral or insulting and are tested with appropriate metrics.
Driver's Consciousness Level Analysis using EEG Signals