Discover @leetim13 Open Source projects

Timothy Lee (@leetim13)

leetim13

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Global Rank 505,517 (Top 18 %)
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Registered over 8 years ago
Most used languages

Python
44.4 %

Jupyter Notebook
22.2 %

Julia
16.7 %

R
11.1 %

Java
5.6 %
Location 🇨🇦 Canada
Country Total Rank 12,075
Country Ranking

Julia
79

R
359

Jupyter Notebook
2,227

Java
4,612

Python
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R-Projects-in-Time-Series-Analysis

A collection of time series analysis and modelling projects using R. Models implemented includes (seasonal) ARIMA models, multivariate VAR models, GARCH, and ARMA-error regression model with other external regressors.

R-Projects-in-Data-Analysis

A collection of data analysis and modelling projects using R. Models implemented included GAMs, GAMMs, GLMs, GLMMs, LMMs, MLRs, and case control studies with both cross-validation and maximum likelihood estimation, accounting for random effects for individual groups if needed.

K-Means-GMM-and-Reinforcement-Learning

Implemeted a Q-learning algorithm to find a shortest path in a stochastic maze under a Reinforcement Learning context. Experimented with k-Means and EM algorithm to find data clusters.

TrueSkill-Ranking-Model-Using-MCMC-On-Tennis-Players

This project demonstrates Stochastic Variational Inference in the TrueSkill Model, using Bayesian inference in large models with continuous latent variables and Markov Chain Monte Carlo on tennis data sets.

Android-Game-Center-App

An android-based game app designed and implemented with a team of 4. Includes a sliding tiles game, 2048, and sudoku. Various OOP principles and design patterns were implemented alongside with intuitive UI/UX design.

K-Fold-CV-Experimentation-in-Ridge-Regression

The goal of this mini project is to experiment with the K-fold cross validation (CV) procedure to tune the penalty parameter λ in Ridge regression, without using any pre-defined packages from libraries like scikit-learn.

Jupyter Notebook

Julia-Intro

Brief intro to using Julia as a numerical computation language, including experimenting with automatic differentiation (auto-diff).

Logistic-Regression-and-KNN-on-MNIST-digits

Implemented and optimized both k-NN and penalized logistic regression model to classify hand-written digits of '4's' and '9's'. Plotted visualizations for both models in terms of cross entropy loss and classification error with different hyper-parameters for comparison between models.

Jupyter Notebook

AI-strategy-games-Stonehenge-and-Subtract-Squares

2 AI-based strategy games

AI-Search-Algo-Sokoban-Game

An AI search algorithm to solve the Sokoban Puzzle involving multiple agents (robots).

leetim13

Display README.md on profile page.

BayesNet-and-Bayesian-Inference

Implemented variable elimination for any given Bayes Net. Used the net for problem-solving and inference.

Decision-Trees-Identifying-Fake-News-Headlines

Using the scikit-learn decision tree classifier to classify real vs. fake news headlines

Jupyter Notebook

NN-Identify-Facial-Expressions

Used training data obtained from Toronto Faces Dataset to train a multi-layer Neural Network for various facial expression detection via ReLu and backpropagation with weight updates and momentum

ML-Logistic-Regression_K-NN

Classify hand-written digits of '4's' and '9's' using KNN and logistic regression

Julia-Neural-Network-with-Nonlinear-Regression-and-heteroscedastic-noise

This project experiments with fitting linear and non-linear regression models with heteroscedastic noise using multi-layer neural networks and MLE to capture both the mean and variance.

Jupyter Notebook

PCA-and-Naive-Bayes-Classifier

Projected training data of ’2’s’ and ’3’s’ to lower dimensions and used a 1-NN classifier on the first K principal components. Experimented the same classification with Naives Bayes Classifier

Variational-Autoencoder-on-MNIST

This project implements and investigates the Variational Autoencoder on binarized MNIST digits by building a generative model to infer the bottom half of the given binarized MNIST digits conditioned on the top half of these images.

AI-to-Player-OthelloGame

An AI-to-Player Othello Game with GUI on different board sizes. Uses both minimax and alpha-beta implementation with depth limit, state caching, and node ordering heuristics.

covid-19-excess-deaths-in-Latin-America

Inspired from The Economist article on “Tracking covid-19 excess deaths across countries” (The Economist, 2021), this report aims to investigate the proportion of overall excess deaths vs the official reported death counts due to the covid-19 pandemic using a Bayesian approach.