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.

Machine Learning for Retail Sales Forecasting — Features Engineering

Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retraining loop, and more

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

C++ Simulation Revenue Management (RM) Open Library

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

Food Demand Forecasting Challenge

Bike sharing prediction based on neural nets

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

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

Minimize forecast errors by developing an advanced booking model using Python

Implement inventory management rules based on a periodic review policy

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

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.