ekloberdanz Goto Github PK

ai-checkers

AI that plays checkers using the Alpha-beta pruning search algorithm

algebraicgraphconnectivity

Convex Optimization Solution of Maximum Algebraic Connectivity of a Graph. The algebraic connectivity (also known as Fiedler value or Fiedler eigenvalue) of a graph G is the second smallest eigenvalue of the Laplacian matrix of G.

arduino

Simulates traffic lights. Red light turns on for 5 seconds, yellow for 1, green for 5, yellow for 1 and so on.

c_plus_plus_learn

cape-privacy-functions

Sample functions for Cape Privacy

decisiontrees

Decision trees and testing their stability with 5-fold cross validation

deepstability.github.io

distributed-neural-net

Distributed Neural Network Training with MPI using data parallelism and parallel synchronous stochastic gradient descent

ekblas

C parallel implementation with OpenMP of several BLAS linear algebra routines

ekloberdanz.github.io

Personal website with my resume

ensemblelearning

Sklearn ensemble classifiers: 1) random forest, 2) AdaBoost, 3) weighted and unweighted ensemble of neural net, logistic regression, Naive Bayes, KNN, and decision tree

homeflix

mlforse-and-seforml

Notes and thoughts on recent papers studying machine learning applied to software engineering or software engineering applied in machine learning

modelselection

Best subset selection, forward and backward selection methods, lasso, ridge regression, ordinary linear least squares, and principal component regression - model selection with different criteria (e.g.: BIC) and validation.

moose

Moose is a framework for secure multi-party computation, written in Rust

naivebayes

Naive Bayes model for text classification from scratch.

neuralnet-experiments

Fully connected feed forward and convolutional neural nets - hyper-parameters tuning

numerical-stability-example-issues-and-solutions

perceptron-algorithm

Implementation of the perceptron algorithm, logistic regression, and polynomial fitting from scratch

python

pytorch

Tensors and Dynamic neural networks in Python with strong GPU acceleration

r

reinforcement-learning

Double Q-Learning Algorithm implemented using two deep neural nets for Q function approximation.

reinforcementlearning-prediction-and-control-with-function-approximation

Implementation of temporal difference learning, expected Sarsa, Q-learning, and Actor-Critic algorithms

softwaredevelopmenteffortprediction

Natural Language Processing and Machine Learning for Software Effort Prediction in Agile Development

tensorflow

An Open Source Machine Learning Framework for Everyone

tradingplatform-machinelearning

Machine learning trading platform: a neural net for technical analysis and a natural language processing model for sentiment analysis of webscraped news articles. Achieved returns 4% above market.

twitteranalysiswebapp

Interactive web app that deploys ML models for twitter sentiment analysis.

twittersentimentanalysis

Developed a sentiment analysis tool with the Twitter API. This tool scrapes twitter for recent tweets containing any chosen keyword, and applies the best pre-trained ML model to classify the sentiment of each tweet.