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.

E-commerce Inventory System developed using Vue and Vuetify

Dynamic Bandwidth Monitor; leak detection method implemented in a real-time data historian

Food Demand Forecasting Challenge

Bike sharing prediction based on neural nets

C++ Simulation Revenue Management (RM) Open Library

Code repository for the paper "Data-driven modelling of energy demand response behaviour based on a large-scale residential trial".

Energy Forecast Benchmark Toolkit is a Python project that aims to provide common tools to benchmark forecast models.

Minimize forecast errors by developing an advanced booking model using Python

Machine Learning Outperforms Classical Forecasting on Horticultural Sales Predictions

A project focused on YouBike optimization, including improvement of dispatch strategies and prediction of potential demand.

Implement inventory management rules based on a periodic review policy