Alternatives and similar repositories for Indian-air-quality-analysis-and-prediction

Users that are interested in Indian-air-quality-analysis-and-prediction are comparing it to the libraries listed below

• pavini11 / SkyLens
  AQI Prediction using LSTM, MLR, SVR, Random Forest, Gradient Boosting
  ☆42Updated 3 years ago
• ericardomuten / LSTM-GCN_COVID-19
  Indonesia's COVID-19 daily new cases prediction using LSTM-GCN method.
  ☆15Updated 5 years ago
• bhawnabhatt2012 / LSTM-model-for-Water-Quality-prediction
  A model is designed with the help of lstm neural networking for water quality pattern analysis and prediction along with the proper eva…
  ☆31Updated 6 years ago
• Nupurgopali / Traffic-Prediction-using-SVR-and-RFR
  We have used Support Vector Regression and Random Forest Regression to predict traffic or congestion.
  ☆20Updated 5 years ago
• DheerajKN / Renewable-Energy-Prediction
  This is my thesis work on renewable energy detection which compares state of art models using Machine Learning and Deep Learning adapted …
  ☆16Updated 4 years ago
• hritik7080 / Weather-Prediction-Time-Series-Forecasting
  Predicting Weather using CNN-LSTM
  ☆67Updated 5 years ago
• vishnuvu7 / Air-Pollution-Prediction-and-Forecasting
  Detection and Prediction of Air quality Index
  ☆55Updated 4 years ago
• JinleiZhangBJTU / Conv-GCN
  Code for Multi-graph convolutional network for short-term passenger flow forecasting in urban rail transit
  ☆36Updated 5 years ago
• shuowang-ai / PM2.5-GNN
  PM2.5-GNN: A Domain Knowledge Enhanced Graph Neural Network For PM2.5 Forecasting
  ☆206Updated 6 months ago
• kqhuynguyen / gcn-japan-weather-forecast
  Forecasting task. Predicting temperatures from sensors data.
  ☆12Updated 6 years ago
• jyoti0225 / Air-Pollution-Forecasting
  Time Series Analysis of Air Pollutants(PM2.5) using LSTM model
  ☆56Updated 5 years ago
• sarikayamehmet / cnn-bilstm-attention
  Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)
  ☆98Updated 5 years ago
• xbfu / Spatiotemporal-Attention-Networks
  Spatiotemporal Attention Networks for Wind Power Forecasting
  ☆78Updated 6 years ago
• vneogi199 / Air-Quality-Index-Prediction-using-Python
  Webapp to predict the Air Quality Index of a region given climate conditions.
  ☆60Updated 2 years ago
• A-safarji / Time-series-deep-learning
  Developing Deep learning LSTM, BiLSTM models, and NeuralProphet for multi-step time-series forecasting of stock price.
  ☆79Updated 3 years ago
• jiangyuan-li / Deep-Spatio-Temporal
  Code for Deep Spatio Temporal Wind Power Forecasting
  ☆56Updated 3 years ago
• markub3327 / Solar-Transformer
  Solar Irradiance Forecasting with Transformer model
  ☆28Updated 3 years ago
• j1o2h3n / DDSTGCN
  Dual Dynamic Spatial-Temporal Graph Convolution Network for Traffic Prediction
  ☆48Updated 2 years ago
• ChaoqunSu / kddcup
  KDDCUP2022 Spatial Dynamic Wind Power Forecasting Paddle Track Sixth Place Solution
  ☆24Updated 3 years ago
• shashankvmaiya / Bike-Sharing-Demand-Prediction
  Stacking of individual Ensemble methods to predict Bike Rental count at any hour of the year
  ☆14Updated 6 years ago
• iamirmasoud / energy_consumption_prediction
  Energy consumption prediction using LSTM/GRU networks in PyTorch
  ☆67Updated 2 years ago
• ritikdhame / Electricity_Demand_and_Price_forecasting
  Building Time series forecasting models, including the XGboost Regressor, GRU (Gated Recurrent Unit), LSTM (Long Short-Term Memory), CNN …
  ☆128Updated 2 years ago
• yiminghzc / MDST-GNN
  a multivariate time series deep spatiotemporal forecasting model with graph neural network (MDST-GNN) is proposed to solve the existing …
  ☆32Updated 3 years ago
• AmitRoy7781 / SST-GNN
  [PAKDD 2021] SST-GNN: Simplified Spatio-temporal Traffic forecasting model using Graph Neural Network
  ☆40Updated last year
• vishnukanduri / Air-quality-index-prediction-using-LSTM
  I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series ana…
  ☆29Updated 5 years ago
• pyae-pyae-phyo / Short-term-electricity-load-forecasting-using-long-short-term-memory
  ☆18Updated 7 years ago
• archity / synthetic-data-gan
  Experimenting with generating synthetic data using ydata-synthetic
  ☆37Updated 4 years ago
• masizhou / GCRNN_PyTorch
  使用GCN和GRU组合模型，多站点气温预测
  ☆37Updated 4 years ago
• ChiYaoLa / TimeSeriesPredict
  used for Stock Prodiction&power prediction&Traffic prediction by ARIMA,xgboost,RNN,LSTM,TCN
  ☆113Updated 5 years ago
• RadiantResearch / TSAT
  Transformer based model for time series prediction
  ☆134Updated 3 years ago