A solution developed to Map essential COVID-19 Relief resources to the needy across a city in the most cost-optimal way, and also to classify incoming SOS messages from those in need of help, for organizational and lesser response times.

My notes and exercises from the course "Operations research 1: Models and applications", offered by the National Taiwan University, taken through Coursera.

Scaled Gradient Projection (SGP) algorithm with beta divergence

Declarative and MILP approaches to service placement, reconciled

Computational Mathematics models

最优化方法程序实现

DrinkIceWater's Page

Exercises and mathematical formulas about numerical methods, mathematical optimization and operations research realized in Python and Jupyter Notebook.

RSO: Fitting a Neural Network by Optimizing One Weight at a Time

portfolio-strategy-simulation is a Python module that allows you to simulate portfolio strategies.

Beyond Bits & Atoms Final Project (educational technology)

Fractional Linear Programming (FLP)

Contains solutions and notes for the Deep Learning Specialization by Deeplearning.ai, Andrew Ng on Coursera

A web application for mathematical optimization

Lecture notes, resources and programming assignments taken from the specialized deep learning program (a sequence of courses all related to deep learning) offered by DeepLearning.AI on coursera.

Explored the impact of various convex regularization techniques on 2D image denoising, emphasizing theoretical understanding and practical implementation

An implementation of Ridge regression in Python

This code is the implementation of the research paper: New insights on integer programming models for the kidney exchange problem. Miguel Constantino, Xenia Klimentova, Ana Viana, and Abdur Rais (Constantino et al). European Journal of Operational Research, 231(1):57–68, 2013. Integer programs in the paper are solved using glpk solver in python.