sydney-machine-learning / airpollution_deeplearningLinks
Deep learning for prediction of air pollution trend in India
☆39Updated last month
Alternatives and similar repositories for airpollution_deeplearning
Users that are interested in airpollution_deeplearning are comparing it to the libraries listed below
Sorting:
- Time series forecasting especially in LSTF compare，include Informer, Autoformer, Reformer, Pyraformer, FEDformer, Transformer, MTGNN, LST…☆128Updated 3 years ago
- A spatiotemporal causal convolutional network for predicting air pollution.☆70Updated 3 years ago
- ☆99Updated 2 years ago
- Transformer based model for time series prediction☆134Updated 3 years ago
- This repo deals with time series prediction using LSTMs. An encoder-decoder architecture was used for this purpose. A dual-stage attentio…☆24Updated 4 years ago
- MTS-Mixers: Multivariate Time Series Forecasting via Factorized Temporal and Channel Mixing☆237Updated 5 months ago
- ☆30Updated last year
- Basic RNN, LSTM, GRU, and Attention for time-series prediction☆183Updated last year
- This is a project for predicting air pollutants in London by time series model, including lstm, bilstm, Convlstm, attention lstm, lightGB…☆150Updated 5 years ago
- An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.☆75Updated 2 years ago
- Time-series forecasting with GNNs☆44Updated 2 years ago
- Multi-Step Spatio-Temporal Forecasting: https://authors.elsevier.com/sd/article/S0306-2619(22)01822-0☆85Updated last year
- Analyzing multiple multivariate time series datasets and using LSTMs and Nonparametric Dynamic Thresholding to detect anomalies across va…☆21Updated 3 years ago
- PyTorch implementation of AirFormer, AAAI-23☆154Updated 3 years ago
- The tutorials for PyPOTS, guide you to model partially-observed time series datasets.☆125Updated 3 weeks ago
- TCN-based sequence-to-sequence model for time series forecasting.☆33Updated 3 years ago
- 基于VMD-Attention-LSTM的时间序列预测模型（代码仅使用了一个较小数据集的训练及预测，内含使用使用逻辑，适合初学者观看，模型结构是可行的，有能力的请尝试使用更 大的数据集训练）☆68Updated 2 years ago
- CNN+LSTM+Attention实现时间序列预测☆62Updated last year
- Experimenting with generating synthetic data using ydata-synthetic☆37Updated 4 years ago
- CEEMDAN_LSTM is a Python project for decomposition-integration forecasting models based on EMD methods and LSTM.☆288Updated 10 months ago
- Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)☆98Updated 5 years ago
- MSGNet: Learning Multi-Scale Inter-Series Correlations for Multivariate Time Series Forecasting (AAAI2024)☆206Updated last year
- CEEMDAN+SampleEntropy+LSTM+RF☆15Updated 4 years ago
- Code for Deep-learning Architecture for Short-term Passenger Flow Forecasting in Urban Rail Transit☆206Updated 5 years ago
- Multivariate Time Series Forecasting with Graph Neural Networks☆14Updated 3 years ago
- PyTorch Implementation of "Adaptive Multi-Scale Decomposition Framework for Time Series Forecasting" (AAAI2025)☆109Updated 9 months ago
- Official implementation of the paper "FourierGNN: Rethinking Multivariate Time Series Forecasting from a Pure Graph Perspective"☆238Updated last year
- Public tutorials of using Flow Forecast for forecasting and classifying time series data☆48Updated last year
- A multivariate multi-step LSTM forecasting model for tuberculosis incidence with model explanation☆27Updated 3 years ago
- transformer/self-attention for Multidimensional time series forecasting 使用transformer架构实现多维时间预测☆238Updated 2 years ago