Pinned Repositories
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.
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
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
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.
ReinforcementLearning-Prediction-and-Control-with-Function-Approximation
Implementation of temporal difference learning, expected Sarsa, Q-learning, and Actor-Critic algorithms
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.
ekloberdanz's Repositories
ekloberdanz/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.
ekloberdanz/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.
ekloberdanz/Distributed-Neural-Net
Distributed Neural Network Training with MPI using data parallelism and parallel synchronous stochastic gradient descent
ekloberdanz/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
ekloberdanz/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.
ekloberdanz/ReinforcementLearning-Prediction-and-Control-with-Function-Approximation
Implementation of temporal difference learning, expected Sarsa, Q-learning, and Actor-Critic algorithms
ekloberdanz/SoftwareDevelopmentEffortPrediction
Natural Language Processing and Machine Learning for Software Effort Prediction in Agile Development
ekloberdanz/tensorflow
An Open Source Machine Learning Framework for Everyone
ekloberdanz/AI-Checkers
AI that plays checkers using the Alpha-beta pruning search algorithm
ekloberdanz/ekblas
C parallel implementation with OpenMP of several BLAS linear algebra routines
ekloberdanz/moose
Moose is a framework for secure multi-party computation, written in Rust
ekloberdanz/NaiveBayes
Naive Bayes model for text classification from scratch.
ekloberdanz/arduino
Simulates traffic lights. Red light turns on for 5 seconds, yellow for 1, green for 5, yellow for 1 and so on.
ekloberdanz/C_plus_plus_learn
ekloberdanz/Cape-Privacy-functions
Sample functions for Cape Privacy
ekloberdanz/DecisionTrees
Decision trees and testing their stability with 5-fold cross validation
ekloberdanz/DeepStability.github.io
ekloberdanz/ekloberdanz.github.io
Personal website with my resume
ekloberdanz/homeflix
ekloberdanz/MLforSE-and-SEforML
Notes and thoughts on recent papers studying machine learning applied to software engineering or software engineering applied in machine learning
ekloberdanz/NeuralNet-Experiments
Fully connected feed forward and convolutional neural nets - hyper-parameters tuning
ekloberdanz/Numerical-Stability-Example-Issues-and-Solutions
ekloberdanz/Perceptron-Algorithm
Implementation of the perceptron algorithm, logistic regression, and polynomial fitting from scratch
ekloberdanz/python
ekloberdanz/pytorch
Tensors and Dynamic neural networks in Python with strong GPU acceleration
ekloberdanz/R
ekloberdanz/Reinforcement-Learning
Double Q-Learning Algorithm implemented using two deep neural nets for Q function approximation.
ekloberdanz/TwitterAnalysisWebApp
Interactive web app that deploys ML models for twitter sentiment analysis.
ekloberdanz/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.