demand-forecasting
There are 20 repositories under demand-forecasting topic.
Alro10 / deep-learning-time-series
List of papers, code and experiments using deep learning for time series forecasting
time-series-forecastinglstm-neural-networkslstmdeep-learningforecasting-modelspredictionpython3pytorchtensorflowseries-forecastingseries-classificationtime-seriestime-series-predictiontime-series-classificationforecasting-competitionsdemand-forecastingrecurrent-neural-networksseries-analysissales-forecastingdeep-neural-networksLanguage:Jupyter Notebook 2508lixus7 / Time-Series-Works-Conferences
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
time-seriesdeep-learningspatio-temporalpaper-listtraffic-predictionspatio-temporal-predictionspatio-temporal-dataspatio-temporal-modelinglocationtravel-time-predictiondemand-forecastinganomaly-detectionmultivariate-timeseriesprobabilistic-modelstime-series-forecastingtime-series-predictiontime-series-imputationaccident-detectionFunkmyster / awesome-supply-chain
A curated list of awesome supply chain blogs, podcasts, standards, projects, and examples.
Knowledge-Precipitation-Tribe / Spatio-Temporal-papers
This project is a collection of recent research in areas such as new infrastructure and urban computing, including white papers, academic papers, AI lab and dataset etc.
Language:Jupyter Notebook 233samirsaci / ml-forecast-features-eng
Machine Learning for Retail Sales Forecasting — Features Engineering
Language:Jupyter Notebook 48AlekhyaBhupati / Demand-Forecasting-Models-for-Supply-Chain-Using-Statistical-and-Machine-Learning-Algorithms
Internship project
Language:HTML 47jomariya23156 / sales-forecast-mlops-at-scale
Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retraining loop, and more
Language:Jupyter Notebook 41- mofc-demand-forecast
aldente0630 / mofc-demand-forecast
Time Series Forecasting for the M5 Competition
Language:Jupyter Notebook 40 anafisa / NYC-Taxi-Demand-Prediction
The primary objective of this project is to build a Real-Time Taxi Demand Prediction Model for every district and zone of NYC.
Language:Jupyter Notebook 22weimingwill / inventory-system
E-commerce Inventory System developed using Vue and Vuetify
Language:JavaScript 18- Language:CMake 15
Vitens / DBM
Dynamic Bandwidth Monitor; leak detection method implemented in a real-time data historian
Language:Visual Basic .NET 15yashkim77 / AV_Food_Demand_Challenge
Food Demand Forecasting Challenge
Language:Jupyter Notebook 15javierdemartin / neural-bikes
Bike sharing prediction based on neural nets
Language:Python 14analyticswithali / Airline-Demand-Forecasting
Minimize forecast errors by developing an advanced booking model using Python
Language:Python 11deepakvohra-analytics / BigData-Project-Inventory-Management-AWS
Big Data Inventory Management on AWS (Demand Forecasting, Machine Learning, Dashboarding) : Presented at Carlson School of Management during the Trends Marketplace event to professors, alumni and working professionals from various companies.
Language:Jupyter Notebook 11Implement inventory management rules based on a periodic review policy
Language:Jupyter Notebook 11antongiannis / dr-behaviour-modelling-residential
Code repository for the paper "Data-driven modelling of energy demand response behaviour based on a large-scale residential trial".
Language:Jupyter Notebook 10attila-balint-kul / energy-forecast-benchmark-toolkit
Energy Forecast Benchmark Toolkit is a Python project that aims to provide common tools to benchmark forecast models.
Language:Jupyter Notebook 10tpe-doit / YouBike-Optimization
A project focused on YouBike optimization, including improvement of dispatch strategies and prediction of potential demand.
Language:Python 10grimmlab / HorticulturalSalesPredictions
Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions
Language:Python 9- Language:Jupyter Notebook 9
cloudera / CML_AMP_Structural_Time_Series
Applying a structural time series approach to California hourly electricity demand data.
Language:Python 8kumarchinnakali / digital-foundry-demand-forcasting
In tune with conventional big data and data science practitioners’ line of thought, currently causal analysis was the only approach considered for our demand forecasting effort which was applicable across the product portfolio. Experience dictates that not all data are same. Each group of data has different data patterns based on how they were sold and supported over the product life cycle. One-methodology-fits-all is very pleasing from an implementation of view. On a practical ground, one must consider solutions for varying needs of different product types in our product portfolio like new products both evolutionary and revolutionary, niche products, high growth products and more. With this backdrop, we have evolved a solution which segments the product portfolio into quadrants and then match a series of algorithms for each quadrant instead of one methodology for all. And technology stack would be simulated/mocked data(Hadoop Ecosystem) > AzureML with R/Python > Zeppelin.
Language:R 8mohammadjoshaghani / Hierarchical-demand-forecasting
Predict M5 kaggle dataset, by LSTM and BI-LSTM and three optimal, bottom-up, top-down reconciliation approach.
Language:Jupyter Notebook 8airsim / tvlsim
The Travel Market Simulator project aims at providing reference implementation, mainly in C++, of a travel market simulator.
Language:JavaScript 7Erdos1729 / food-demand-forecasting
This repository will work around solving the problem of food demand forecasting using machine learning.
Language:Jupyter Notebook 7- Language:CMake 6
Aniket-Thopte / Demand-Forecasting-Public-Bike-Rental-Predictive-Modeling-
Developed multiple predictive models with 90% accuracy for forecasting the daily-hourly bike rental count using Python & Machine Learning techniques like Regression, Clustering, Ensemble, Neural Network to achieve maximum accuracy
Language:Jupyter Notebook 6datablogger-ml / Time-Series-Forecasting
Forecasting the Production Index using various time series methods
Language:Jupyter Notebook 6old-school-kid / Warehouse-management
A software prototype web app for demand forecasting, inventory management and food tracking using machine learning and blockchain.
Language:Jupyter Notebook 6- Language:CMake 5
- Language:CMake 5
catwhiskers / m5-prediction-accuracy
Perform sales unit prediction by SageMaker.
Language:Jupyter Notebook 5mbahmujono / Pertamina
ARIMA ML Model - Oil and Gas Supply Chain Demand Forecasting with LLM Analysis using AWS Bedrock Foundational Model
Language:Python 4shubham5027 / Store-Item-Demand-Forcasting
The "Sales Demand Forecasting Regression Model" project aims to develop a predictive model that forecasts future sales demand based on historical data and relevant influencing factors. The project follows a structured approach, encompassing data collection, preprocessing, model selection, training, evaluation, and deployment.
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