David's Projects
A professional list of Papers, Tutorials, and Surveys on AI for Time Series in top AI conferences and journals.
Using LSTM model to predict Bitcoin prices. Our project is chosen to be One Of Outstanding Projects that are qualified to present in front of reviewers from industry partners of NUS MSBA and the whole class
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Collection of Kaggle Solutions and Ideas š
Notebooks for Large Language Models (LLMs) Specialization
Data Management and Warehouse Project
Machine Learning Project
Using the Santander dataset to implement a deep learning product recommendation engine based on Auto Encoder (AE), Variational Auto Encoder (VAE)
This image classification task uses deep learning models, from basic MLP to unpretrained ResNet to pretrained ResNet, which is an overall process covering data collection to model training.
This repo contains the notes of self-learning of time series
A Library for Advanced Deep Time Series Models.
A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
Config files for my GitHub profile.