Alternatives and similar repositories for Device-failure-prediction

Users that are interested in Device-failure-prediction are comparing it to the libraries listed below

• 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
• suriyaram38 / Supply-Chain-Optimization-Using-Python
  A low capacity and high capacity plant across 5 countries are considered and a linear programming model is built to determine the total l…
  ☆19Updated 4 years ago
• KarthikMurugadoss1804 / Supply-Chain-optimization---Linear-Programming
  The aim of the project is leverage linear programming in supply chain optimization problem
  ☆19Updated 5 years ago
• ashishpatel26 / Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
  Predictive_Maintenance_using_Machine-Learning_Microsoft_Casestudy
  ☆128Updated 7 years ago
• kolasniwash / short-term-energy-demand-forecasting
  Forecasts next 24 hours of hourly energy demand with Keras, Prophet, and SARIMA (statsmodels)
  ☆100Updated 2 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
• Yi-Chen-Lin2019 / Predictive-maintenance-with-machine-learning
  This project is about predictive maintenance with machine learning. It's a final project of my Computer Science AP degree.
  ☆68Updated 3 years ago
• husnejahan / Multivariate-Time-series-Analysis-using-LSTM-ARIMA
  Multivariate Time series Analysis Using LSTM & ARIMA
  ☆37Updated 6 years ago
• fernandodecastilla / Machine-Learning-for-Predictive-Maintenance
  Anomaly detection and failure prognosis applied to industrial machines
  ☆28Updated 6 years ago
• mihagrabner / Load-Forecasting-tutorial
  Complementary Jupyter notebooks for load forecasting tutorial.
  ☆12Updated 5 years ago
• limingwu8 / Predictive-Maintenance
  time-series prediction for predictive maintenance
  ☆54Updated 6 years ago
• JanderHungrige / PumpSensor
  ☆15Updated 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 …
  ☆66Updated 4 years ago
• abatsakidis / SupplyChainSimulationAnylogic
  Modeling methods of System Dynamics – Supply Chain Simulation using the Anylogic software
  ☆11Updated 8 years ago
• sattwiksuman / Supply-Chain-Analytics
  Deterministic and Stochastic Dynamic Programs for optimization of Supply Chain
  ☆19Updated 2 years ago
• archd3sai / Predictive-Maintenance-of-Aircraft-Engine
  In this project I aim to apply Various Predictive Maintenance Techniques to accurately predict the impending failure of an aircraft turbo…
  ☆152Updated 3 years ago
• Geoffrey-Z / Multivariate-Time-Series-Forecasting-with-LSTMs-in-Keras-for-CORN-SWEET-Terminal-Market-Price
  ☆16Updated 4 years ago
• antoniopaisfernandes / Demand-Forecasting
  This machine learning model (LSTM Time Series model) helps us to forecast demand of a supply chain business problem. This model uses Kera…
  ☆30Updated 7 years ago
• viniciusarruda / ga-pso-fuzzy-classifier
  Classifing the iris dataset with fuzzy logic, genetic algorithm and particle swarm optimization.
  ☆11Updated 6 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
• Samimust / predictive-maintenance
  Data Wrangling, EDA, Feature Engineering, Model Selection, Regression, Binary and Multi-class Classification (Python, scikit-learn)
  ☆280Updated last year
• paulobreviglieri / data-science-smart-grid-stability
  Machine learning - Deep learning - Smart grid stability
  ☆13Updated 5 years ago
• sabderra / predictive-maintenance-spark
  Predicting the Remaining Useful Life (RUL) of simulated Turbofan Engines using Spark ML, Spark Structured Streaming, and Kafka.
  ☆23Updated last year
• vikas9087 / MachineLearning-OperationsResearch-SupplyChainOptimization
  This work explains how OR and ML in tandem can help us making a cost efficient decisions. I have used a Supply Chain Network Design use c…
  ☆24Updated 4 years ago
• vikashsahu4 / Inventory-Optimization-Algorithms
  Algorithms Library for Supply Chain Inventory Optimization
  ☆17Updated 6 years ago
• IBM / iot-predictive-analytics
  Method for Predicting failures in Equipment using Sensor data. Sensors mounted on devices like IoT devices, Automated manufacturing like …
  ☆114Updated 2 months 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
• samirsaci / supply-chain-optimization
  Supply Chain Optimization with Python
  ☆102Updated last month
• mborysiak / Time-Series-Forecasting-with-ARIMA-and-LSTM
  ☆81Updated 3 years ago
• sdasadia / Oil-Price-Prediction
  Time Series Analysis for Oil Price Prediction
  ☆19Updated 8 years ago