vikmreddy / deep-air
Predicting Air Pollution in Beijing, China using Deep Neural Nets
☆61Updated 6 years ago
Alternatives and similar repositories for deep-air:
Users that are interested in deep-air are comparing it to the libraries listed below
- KDD2018 CUP - Predicting air pollutants for next 48 hours in London and Beijing using Deep Learning☆29Updated 6 years ago
- Repository of KDD Cup, 2018.☆53Updated 6 years ago
- a easy pytorch implement of GeoMAN☆69Updated last year
- The code of the paper 'Deep Forecast : Deep Learning-based Spatio-Temporal Forecasting", ICML Time Series Workshop 2017.☆118Updated 5 years ago
- AI Challenger 2018 Weather Forecasting - 1st Place Solution☆68Updated 6 years ago
- Deep Learning for Weather Forecasting, accepted applied data science of KDD 2019☆95Updated last year
- ☆57Updated 6 years ago
- ☆12Updated 4 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, …☆11Updated 4 years ago
- Wind Speed Prediction using LSTMs in PyTorch (https://arxiv.org/pdf/1707.08110.pdf)☆185Updated 7 years ago
- MSSTN: Multi-Scale Spatial-Temporal Network for Air Pollution Prediction☆22Updated 5 years ago
- Dual Staged Attention Model for Time Series prediction☆67Updated 7 years ago
- AI challenger 2018 TOP3 Solution☆16Updated 5 years ago
- Forecasting air pollution using temporal attention mechanism in Beijing☆47Updated 4 years ago
- Convolutional LSTM for Precipitation Nowcasting☆55Updated 7 years ago
- A Dual-Stage Attention-Based Recurrent Neural Network for Time Series Prediction☆112Updated 7 months ago
- Predicting the amount of Particulate Matter (PM2.5) content in the air☆13Updated 4 years ago
- This project has applied some Machine Learning techniques to analyse and predict the Air Quality in Beijing.☆32Updated 5 years ago
- The source codes for HighAir: A Hierarchical Graph Neural Network-Based Air Quality Forecasting Method☆25Updated 4 years ago
- Tensorflow Implementation of GeoMAN, IJCAI-18☆142Updated 5 years ago
- Bus travel time and arrival prediction using ConvLSTM neural networks☆54Updated 6 years ago
- A spatiotemporal causal convolutional network for predicting PM2.5 concentrations.☆36Updated 2 years ago
- Code for the paper "Spatio-Temporal Neural Networks for Space-Time Series Modeling and Relations Discovery"☆119Updated 5 years ago
- DMVST-Net for AAAI 2018☆108Updated 3 years ago
- Implementation of STG2Seq: Spatial-temporal Graph to Sequence Model for Multi-step Passenger Demand Forecasting☆32Updated 4 years ago
- ☆17Updated 4 years ago
- Spatiotemporal graph convolutional network for wind speed prediction.☆36Updated 3 years ago
- PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting☆182Updated last year
- CIKM contest entry 'Convolutional LSTM neural network to extrapolate radar images, and predict rainfall'☆191Updated 7 years ago
- Spatiotemporal Attention Networks for Wind Power Forecasting☆74Updated 5 years ago