Vehicle detection in dash cam video
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Updated
Jun 27, 2017 - Python
Vehicle detection in dash cam video
Java Implementation of the simplified strength based learning classifier system
randomjs converted to U++ conventions
Naive Bayes classifier
DeepNet is simple node based cli tool for creating machine learning classifiers you can use on the web.
🏎️ Vehicle Detection Project using OpenCV and scikit-learn for the Self-Driving Car Nanodegree at Udacity
Classification of Clear Cell Renal Cell Carcinoma using CT textural feature analysis
Ariba Code-A-Thon 2018
This repository contains works on a computer vision software pipeline built on top of Python to identify Lanes and vehicles in a video. This project is not part of Udacity SDCND but is based on other free courses and challanges provided by Udacity. It uses Computer vision and Deep Learrning Techniques. Few pipelines have been tried on SeDriCa, I…
Contains the codes for Extended Histogram of Gradients for object recognition developed by me during my PhD studies.
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This is a repository of some of my machine learning programming musings and projects including the movielens and imdb movie recommender systems on which I have published a research paper in an IEEE conference.
Hierarchical self-organizing maps for unsupervised pattern recognition
Fake news related to the coronavirus pandemic has now become a huge problem since false information can lead to worry and concerns regarding the disease. It is not possible to perfectly detect fake news unless the news has been labelled fake or real. Therefore, I have taken this issue as my problem and have developed a project that can detect fa…
Web/PHP based image annotator that creates Darknet/YOLO txt files.
Final Project submitted CIS 600 Data Mining Course Spring 2020. Supervised ML project on a job posting dataset to predict fake postings.
Classificadores vizinho mais próximo, k-vizinhos mais próximos e centroíde programados em Haskell para primeiro e segundo o trabalho computacional de Programação Funcional.
This repository describes the implementation of Machine Learning techinques using the Statsmodels pacakge
Data Analysis - university team project.
Using four Classifier -
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