List of papers, code and experiments using deep learning for time series forecasting
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
A curated list of awesome supply chain blogs, podcasts, standards, projects, and examples.
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.
Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retraining loop, and more
Machine Learning for Retail Sales Forecasting — Features Engineering
Internship project
Time Series Forecasting for the M5 Competition
The primary objective of this project is to build a Real-Time Taxi Demand Prediction Model for every district and zone of NYC.
Time Series Forecasting Methods — A collection of Python implementations for essential time series forecasting techniques, including Simple, Double, Triple Exponential Smoothing, and Moving Averages.
E-commerce Inventory System developed using Vue and Vuetify
Dynamic Bandwidth Monitor; leak detection method implemented in a real-time data historian
A project focused on YouBike optimization, including improvement of dispatch strategies and prediction of potential demand.
Energy Forecast Benchmark Toolkit is a Python project that aims to provide common tools to benchmark forecast models.
Bike sharing prediction based on neural nets
Code repository for the paper "Data-driven modelling of energy demand response behaviour based on a large-scale residential trial".
Implement inventory management rules based on a periodic review policy
Food Demand Forecasting Challenge
C++ Simulation Revenue Management (RM) Open Library
Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions
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