End-to-end Dog breeds image classifier in AWS

Established an end-to-end data API service for image classification in AWS, utilizing transfer learning with pre-trained models in PyTorch for a task involving the classification of 133 dog breeds.

XAI in tabular and Image classifiers

Employ popular model-agnostic interpretable machine learning methods, LIME and SHAP, to analyze and interpret the behaviors of models in the context of tabular data classification and image data classification tasks

MongoDB

Implement a JSON Document model NoSQL database from scratch using Python, with supports of CRUD operations, B+ Tree indexing, and concurrency.

Fin Project

The proposed project entails the development of a robust and reliable database comprising historical and real-time data from the TWSE and TPEx. By leveraging web scraping technologies, we will collect and process key financial and trading data, such as stock prices, volumes, company financials, and

R CRAN: TensorTest2D

An implementation of fitting generalized linear models on second-order tensor type data. The functions within this package mainly focus on parameter estimation, including parameter coefficients and standard deviation.