Alternatives and similar repositories for LSTM-TensorFlow-for-Timeseries-forecasting:

Users that are interested in LSTM-TensorFlow-for-Timeseries-forecasting are comparing it to the libraries listed below

• MGCodesandStats / energy-weather-modelling
  Use of time series modelling tools including ARIMA, LSTM, and Monte Carlo simulation to model electricity consumption, rainfall and tempe…
  ☆45Updated 10 months ago
• vb100 / Tensorflow-ANN-TimeSeries-Forecasting-Weather
  This notebook demonstrates how to implement Tensorflow & queries to forecasting for a very big dataset. ANN with 2 hidden layers has been…
  ☆9Updated 6 years ago
• 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
• kolasniwash / short-term-energy-demand-forecasting
  Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)
  ☆90Updated last year
• CA683-Group99 / Wind-Energy-Prediction
  Exploring the relationships in the historical data of weather, wind generated electricity and electricity demand. Base on the analysis, u…
  ☆13Updated 3 years ago
• nicknochnack / TimeSeriesForecastingProphet
  A simple Jupyter Notebook walking through how to perform time series forecasting with Facebook Prophet.
  ☆86Updated 4 years ago
• nicknochnack / LinearProgrammingBasics
  ☆17Updated 4 years ago
• adele-k02 / CS229-machine-learning-solar-energy-predictions
  Predicting solar energy using machine learning (LSTM, PCA, boosting). This is our CS 229 project from autumn 2017. Report and poster are …
  ☆58Updated 3 years ago
• JanderHungrige / PumpSensor
  ☆15Updated 3 years ago
• adeecc / SCM-RL
  Application of Deep Reinforcement Learning to Supply Chain management. Reference: https://blog.griddynamics.com/deep-reinforcement-learni…
  ☆10Updated 3 years ago
• vb100 / multivariate-lstm
  ☆77Updated 4 years ago
• dhamvi01 / Multivariate-Time-Series-Using-LSTM
  ☆25Updated last week
• mikepang98 / TimeSeriesLSTM
  Fully coded with Google Colab.
  ☆27Updated 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…
  ☆29Updated 4 years ago
• husnejahan / Multivariate-Time-series-Analysis-using-LSTM-ARIMA
  Multivariate Time series Analysis Using LSTM & ARIMA
  ☆37Updated 5 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
• soumilshah1995 / Data-Visualization-Analysis-and-RNN-LSTM-model-for-Hourly-Energy-Consumption-
  Data Visualization, Analysis and RNN LSTM model for Hourly Energy Consumption
  ☆9Updated 5 years ago
• mborysiak / Time-Series-Forecasting-with-ARIMA-and-LSTM
  ☆79Updated 2 years ago
• fatma-kursun-wiz / time-series-forecasting
  ☆22Updated 6 years ago
• nachi-hebbar / ARIMA-Temperature_Forecasting
  Temperature forecasting using ARIMA model in Python. Pmdarima and statsmodel library are used
  ☆46Updated 4 years ago
• 30lm32 / ml-time-series-analysis-on-sales-data
  Time Series Decomposition techniques and random forest algorithm on sales data
  ☆57Updated 2 years ago
• jahangirmammadov / sarima
  Econometric Approach to Time Series Analysis — Seasonal ARIMA in Python
  ☆23Updated 5 years ago
• dswh / fuel-consumption-end-to-end-ml
  End to End Machine Learning Project on Fuel Consumption Prediction of 70s and 80s vehicles.
  ☆70Updated last year
• nachi-hebbar / Time-Series-Forecasting-LSTM
  Time series forecasting using LSTM in Python
  ☆94Updated 6 months ago
• JulianGeis / forecasting_heatload
  This projects develops several SARIMAX time series models and neural networks (LSTM, GRU, CNN) to predict the hourly heat demand in a dis…
  ☆9Updated 4 years ago
• susanli2016 / Hands-On-Machine-Learning-with-Scikit-Learn-Keras-and-TensorFlow-2nd-Edition
  Book Projects
  ☆25Updated 3 years ago
• evansdoe / online_retail
  The goal of this project is to build an unsupervised machine learning model that predicts customers' next purchase date.
  ☆19Updated 3 years ago
• srivatsan88 / google_cloud_notebooks
  ☆13Updated 4 years ago
• asrays / Stock-Price-Prediction-Using-ARIMA-LSTM-Hybrid-Model
  ☆9Updated 3 years ago
• pratha19 / Hourly_Energy_Consumption_Prediction
  This repo contains files and jupyter notebooks for the project- Predicting energy consumption of the entire region in southern CA served…
  ☆40Updated 4 years ago