scripts and piplines for projects related to MRI and magnetic reconnection
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Updated
Mar 22, 2018 - Jupyter Notebook
scripts and piplines for projects related to MRI and magnetic reconnection
Summarization module for the project Patient Forum Miner (with TNO)
Witchcraft is a toolkit capable of encoding documents of various content types and structure (flat, hierarchical, or series) into searchable latent vector space.
Spark and Feature Extraction Code
In this project, I have used the US Economic Data and create insights from it and have built dashboard.
This module can take a list of feature names and the data dictionary, and return a numpy array.
Computer Vision: Akaze-Kaze Features Based Consecutive Frame Matching- Video Analysis
Implementação do extrator de atributos BRISQUE (Blind/Referenceless Image Spatial Quality Evaluator) em Python 3x.
A machine learning project exploring a dataset of spoken numerals, including prediction of intonation and numeral spoken
Examples of some feature descriptors and feature matching algorithms in Computer vision
Load monitoring/ load detection is one big breakthrough in tackling the problem of increasing carbon footprint. It helps to provide detailed electricity consumption information in residential households. This project is dedicated to providing a perfect estimate of the usage of the most common appliances in residential buildings.
Age classification using facial detection
PyTorch Detailed implementation of famous backbone feature extractor CNNs
Preprocessing Analysis
Within this repository, the code efficiently collects and preprocesses drawing data. It extracts key parameters like height, width, roundness, elongation, and complexity. These features are then utilized by a K-Nearest Neighbors (KNN) algorithm for precise drawing predictions.
This repository contains last project of UT-ML course files(feature extraction, classification, clustering)...
A multimodal deep learning framework for prediction of cancer biomarkers
MSc dissertation - Research on Sequential Deep Learning models for Temporal Feature Extraction in Credit Card Default Prediction
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