brutishguy's Projects
Predictive modelling on ranges of laptop prices for the past 3 weeks
The fourth assignment for Advanced Analytics in Big Data. Here we analyze a large social graph from Reddit using Neo4j and Gephi as a graph visualization tool
Code and Data for Genetic Algorithm for PSP
Created and completed a first iteration of a simple ARIMA forecaster for time series data to be used for a larger pipeline
Hyperparameter Optimization for Astronomy Domain Problems
A set of Cytoscape tutorials for my students
Bayesian Optimization for Deep Reinforcement Learning
Exploratory Data Analysis for Large Datasets
Deal or No Deal? End-to-End Learning for Negotiation Dialogues
FastCART is a fast C++-based CART algorithm decision tree implementation, able to handle ordinal, numerical and categorical data.
Implementation of genetic algorithms to solve the dynamic TSP problem. The dynamic travelling salesman problem is an extension of the classical TSP to allow for time-varying cost matrices between city connections.
HADOOP 2.8.0 (22 March, 2017) INSTALLATION ON WINDOW 10
Just another repository
This is a hyperband fork because some people don't like pull-requests
Hyper-parameter optimization for sklearn
Yo yo yo feel free to work on the JavaFX experiments over here
Repository for our solutions and insights derived for the KU Leuven Datathon 2020, using air quality data from LeuvenAir, traffic data from Telraam, and weather sensor data
Assignment for Big Data Analytics Programming centred around Locality Sensitive Hashing
Hadoop experiments on toy datasets involving taxi trips around San Francisco. Be sure to wear some flowers in your hair
Models built with TensorFlow
Ontology for Programming Contest Datasets
fit piece-wise linear data for a specified number of line segments
PointNet: Deep Learning on Point Sets for 3D Classification and Segmentation
Python implementation of the paper "PyFriends: The First Fully Generalized Friends-of-Friends Extragalactic Galaxy Group Finder", using a Friends-of-Friends (FoF) algorithm for galaxy group detection, augmented by graph theory approaches.
Select a random raffle winner among a list of objects, via a 'survivor'-style elimination process.