vikmreddy / deep-air
Predicting Air Pollution in Beijing, China using Deep Neural Nets
☆60Updated 6 years ago
Related projects ⓘ
Alternatives and complementary repositories for deep-air
- ☆12Updated 4 years ago
- Deep Learning for Weather Forecasting, accepted applied data science of KDD 2019☆93Updated last year
- KDD2018 CUP - Predicting air pollutants for next 48 hours in London and Beijing using Deep Learning☆28Updated 5 years ago
- a easy pytorch implement of GeoMAN☆68Updated last year
- Forecasting air pollution using temporal attention mechanism in Beijing☆46Updated 4 years ago
- The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.☆118Updated 4 years ago
- Repository of KDD Cup, 2018.☆54Updated 6 years ago
- AI Challenger 2018 Weather Forecasting - 1st Place Solution☆68Updated 5 years ago
- ☆57Updated 5 years ago
- AI challenger 2018 TOP3 Solution☆15Updated 5 years ago
- This project has applied some Machine Learning techniques to analyse and predict the Air Quality in Beijing.☆29Updated 5 years ago
- Tensorflow Implementation of GeoMAN, IJCAI-18☆140Updated 5 years ago
- We propose to continuously predict the whole $station \times feature$ map in the next 1 to 48 hours with a convolutional LSTM (ConvLSTM, …☆10Updated 4 years ago
- Wind Speed Prediction using LSTMs in PyTorch (https://arxiv.org/pdf/1707.08110.pdf)☆177Updated 6 years ago
- MSSTN: Multi-Scale Spatial-Temporal Network for Air Pollution Prediction☆21Updated 4 years ago
- Dual Staged Attention Model for Time Series prediction☆66Updated 7 years ago
- Convolutional LSTM for Precipitation Nowcasting☆50Updated 6 years ago
- Bus travel time and arrival prediction using ConvLSTM neural networks☆54Updated 6 years ago
- ☆17Updated 4 years ago
- We use weather data of Ulsan, Korea from 1980 to 2017 to predict temperature.☆82Updated 3 years ago
- A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction☆111Updated 4 months ago
- PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting☆167Updated last year
- Codes for AAAI 2019 DeepSTN+: Context-aware Spatial-Temporal Neural Network for Crowd Flow Prediction in Metropolis☆66Updated 4 years ago
- CIKM contest entry 'Convolutional LSTM neural network to extrapolate radar images, and predict rainfall'☆189Updated 7 years ago
- Tensorflow implementation of paper http://arxiv.org/abs/1809.02105☆66Updated 5 years ago
- Predicting the amount of Particulate Matter (PM2.5) content in the air☆13Updated 4 years ago
- Code for the paper "Spatio-Temporal Neural Networks for Space-Time Series Modeling and Relations Discovery"☆119Updated 5 years ago