Alternatives and similar repositories for Air-Pollution-Forecasting

Users that are interested in Air-Pollution-Forecasting are comparing it to the libraries listed below

• 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…
  ☆28Updated 5 years ago
• hritik7080 / Weather-Prediction-Time-Series-Forecasting
  Predicting Weather using CNN-LSTM
  ☆60Updated 5 years ago
• grtvishnu / Air-Pollution-Prediction-and-Forecasting
  Detection and Prediction of Air quality Index
  ☆53Updated 4 years ago
• pavini11 / SkyLens
  AQI Prediction using LSTM, MLR, SVR, Random Forest, Gradient Boosting
  ☆40Updated 3 years ago
• lostrider07 / Crop_prediction_using_ML
  The designed hybrid neural network model identifies optimal combinations of soil parameters and blends it with the rainfall pattern in a …
  ☆12Updated 3 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…
  ☆27Updated 6 years ago
• prince381 / air-pollution
  Predicting the amount of Particulate Matter (PM2.5) content in the air
  ☆14Updated 5 years ago
• nachi-hebbar / Time-Series-Forecasting-LSTM
  Time series forecasting using LSTM in Python
  ☆97Updated 9 months 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
• sunjoshi1991 / Time-Series-Forecasting-using-LSTM
  Predicting future temperature using univariate and multivariate features using techniques like Moving window average and LSTM(single and …
  ☆60Updated 11 months ago
• Zee05 / JSE-Stock-Market-Returns-Prediction-Using-Multivariate-Time-Series-Data
  An application of Multilayer Perceptron, Random Forest Regression and Recurrent Neural Networks (LSTM)
  ☆14Updated 3 years ago
• sudheerachary / rainfall-prediction
  predict short & long term rainfall
  ☆38Updated 6 years ago
• Anbulenin / Indian-air-quality-analysis-and-prediction
  A model to predict the air quality index for a upcoming year on the basis of historical data .for forecasting the air quality
  ☆12Updated 6 years ago
• husnejahan / Multivariate-Time-series-Analysis-using-LSTM-ARIMA
  Multivariate Time series Analysis Using LSTM & ARIMA
  ☆37Updated 5 years ago
• kolasniwash / short-term-energy-demand-forecasting
  Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)
  ☆93Updated 2 years ago
• rishika028 / Air-Quality-Index-prediction-using-ML-and-LSTM
  To predict the air quality index using meterological data using machine learning algorithms and LSTM(Long Short Term Memory)
  ☆10Updated 5 years ago
• nachi-hebbar / Multivariate-Time-Series-Forecasting
  Multivariate time series forecasting using the VAR Model in Python. Video Explanation available on my Youtube channel: https://www.youtub…
  ☆24Updated 3 years ago
• Hupperich-Manuel / LSTM-XGBoost-Hybrid-Forecasting
  LSTM-XGBoost Time Series Forecasting
  ☆134Updated last year
• Pradnya1208 / Time-series-forecasting-using-Deep-Learning
  The goal of this notebook is to implement and compare different approaches to predict item-level sales at different store locations.
  ☆36Updated 3 years ago
• yasamanensafi / retail_store_sales_forecasting
  Predict seasonal item sales using classical time-series forecasting methods like Seasonal ARIMA and Triple Exponential Smoothing and curr…
  ☆30Updated 4 years ago
• lxu213 / arima-forecasting
  Using Python StatsModel ARIMA to Forecast Time Series of Cars in Walmart Parking Lot
  ☆32Updated 7 years ago
• takumiw / Time-Series-Demand-Forecasting
  Time-series demand forecasting is constructed by using LSTM, GRU, LSTM with seq2seq architecture, and prophet models.
  ☆30Updated 4 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 …
  ☆82Updated last year
• vlattodo / co2_emissions_prediction_countries
  A machine learning project aiming to analyze and predict CO2 emissions from country parameters such as economic indicators, population, e…
  ☆26Updated 4 years ago
• balandhanka / Windspeed-Forecasting-LSTM-GRU
  Time series Forecasting of Wind speed based on different deep learning methods LSTM - GRU
  ☆18Updated 4 years ago
• ashishpatel26 / tcn-keras-Examples
  This repository contains example of keras-tcn on easy way.
  ☆57Updated 4 years ago
• bruce803 / Air-quality-prediction
  We propose to continuously predict the whole $station \times feature$ map in the next 1 to 48 hours with a convolutional LSTM (ConvLSTM, …
  ☆10Updated 5 years ago
• pouyaesm / kdd2018_air_pollution_prediction
  KDD2018 CUP - Predicting air pollutants for next 48 hours in London and Beijing using Deep Learning
  ☆29Updated 6 years ago
• nachi-hebbar / ARIMA-Temperature_Forecasting
  Temperature forecasting using ARIMA model in Python. Pmdarima and statsmodel library are used
  ☆47Updated 4 years ago
• sarikayamehmet / cnn-bilstm-attention
  Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)
  ☆91Updated 4 years ago