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

• 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 4 years ago
• MJeremy2017 / deep-learning
  Deep Learning Implementations
  ☆17Updated 4 years ago
• JanderHungrige / PumpSensor
  ☆15Updated 4 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
• vb100 / multivariate-lstm
  ☆78Updated 5 years ago
• evansdoe / online_retail
  The goal of this project is to build an unsupervised machine learning model that predicts customers' next purchase date.
  ☆20Updated 4 years ago
• nicknochnack / DeployingMachineLearningModels
  An end to end walkthrough for building and deploying machine learning models with Python and Watson Machine Learning.
  ☆20Updated 4 years ago
• samirsaci / graph-theory
  Graph theory to optimize the road transportation network of a retail company
  ☆22Updated last week
• nicknochnack / LinearProgrammingBasics
  ☆17Updated 5 years ago
• MGCodesandStats / energy-weather-modelling
  Use of time series modelling tools including ARIMA, LSTM, and Monte Carlo simulation to model electricity consumption, rainfall and tempe…
  ☆50Updated last year
• nicknochnack / TimeSeriesForecastingProphet
  A simple Jupyter Notebook walking through how to perform time series forecasting with Facebook Prophet.
  ☆92Updated 4 years ago
• kolasniwash / short-term-energy-demand-forecasting
  Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)
  ☆99Updated 2 years ago
• 30lm32 / ml-time-series-analysis-on-sales-data
  Time Series Decomposition techniques and random forest algorithm on sales data
  ☆62Updated 3 years ago
• baptistesoulard / Production-plan-optimization
  ☆22Updated 4 years ago
• Carterbouley / ElectricityPricePrediction
  This is the final project following my time at Flatirons Data Science bootcamp. It uses Neural Networks (and other machine learning metho…
  ☆70Updated 5 years ago
• sidakwalia / Exploratory-Data-Analysis-2
  This repository contains code for exploratory data analysis and machine learning on different datasets.
  ☆13Updated 3 years ago
• mikepang98 / TimeSeriesLSTM
  Fully coded with Google Colab.
  ☆27Updated 4 years ago
• nachi-hebbar / ARIMA-Temperature_Forecasting
  Temperature forecasting using ARIMA model in Python. Pmdarima and statsmodel library are used
  ☆48Updated 5 years ago
• husnejahan / Multivariate-Time-series-Analysis-using-LSTM-ARIMA
  Multivariate Time series Analysis Using LSTM & ARIMA
  ☆37Updated 6 years 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…
  ☆10Updated 7 years ago
• dhamvi01 / Multivariate-Time-Series-Using-LSTM
  ☆26Updated 9 months ago
• pik1989 / FBProphet
  ☆12Updated 3 years ago
• samarthmistry / Retail-Forecasting-Optimal-Pricing
  End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …
  ☆39Updated 6 years ago
• nachi-hebbar / Time-Series-Forecasting-LSTM
  Time series forecasting using LSTM in Python
  ☆103Updated last year
• Marcussena / ML-and-Ai-from-scratch
  Python implementation of machine learning and Ai algorithms from scratch
  ☆11Updated 9 months ago
• ashishpatel26 / Introduction-to-Time-Series-forecasting
  Time Series Analysis of Internation Air Passengers
  ☆40Updated 6 years ago
• srivatsan88 / google_cloud_notebooks
  ☆13Updated 4 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…
  ☆32Updated 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 2 years ago
• Housiadas / forecasting-energy-consumption-LSTM
  Development of a machine learning application for IoT platform to predict electric energy consumption in smart building environment in re…
  ☆49Updated 5 years ago