Time Series Analysis of Air Pollutants(PM2.5) using LSTM model

🎓 Unofficial LaTeX templates for your graduate thesis (both master's theses and doctoral dissertations) at National Taiwan University. 國立臺灣大學碩博士學位論文 LaTeX 模板

Pyramid Scene Parsing Network, CVPR2017.

PyTorch implementation of PSPNet segmentation network

交通部為落實智慧運輸政策、加速運輸資料整合與開放，創建「TDX運輸資料流通服務平臺」，期透過Open API服務之整合，建立運輸領域開放資料的單一入口，便利加值業者從單一介面快速獲取所需資料。

Developed a novel algorithm to predict air pollution levels with state-of-art accuracy using deep learning and GoogleMaps satellite images

In this project work, the main motive is to build a deep learning model to detect air pollution from real-time images. In order to achieve that goal, we have collected data from different sources a…

Predicting Air Quality from Webcam Images with Deep Learning

Machine Learning model which uses closed-form solution of Locally Weighted Regression (LOWESS) Algorithm to predict the Quality of Air

This project has applied Machine Learning and Deep Learning techniques to analyse and predict the Air Quality in Beijing.

This repository contains codes, datasets, results, and reports of a machine learning project on air quality prediction.

This project aims at forecasting the PM2.5 concentration using the other environmental factors.

PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting

Computer Vision Projects

xml file vehicle detection

Example code from Head First Design Patterns translated to python

Documentation for all OpenTrafficCam Modules

🔮 ChatGPT Desktop Application (Mac, Windows and Linux)

Network Analysis in Python

Optimization models using various solvers

Transfer learning using tensorflow VGG16 image classification model

VGG19 and VGG16 on Tensorflow

Deep Learning for humans

PyTorch code for our ECCV 2018 paper "Image Super-Resolution Using Very Deep Residual Channel Attention Networks"

Pyscripter is a feature-rich but lightweight Python IDE

Setting Up Jupyter notebooks for ArcGIS

Documentation and samples for ArcGIS API for Python

sharing and learning python skills

A tutorial for Kaggle's Titanic: Machine Learning from Disaster competition. Demonstrates basic data munging, analysis, and visualization techniques. Shows examples of supervised machine learning t…

🏅 Collection of Kaggle Solutions and Ideas 🏅