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.

Python sdk for zero-shot time-series forecasting

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.

End-to-end demand forecasting with Python using synthetic time-series sales data. Includes data generation, cleaning, ARIMA/SARIMA model selection by AIC, evaluation with RMSE and MAPE, and 90-day forecasts with confidence intervals. Reproducible scripts and visualizations for portfolio showcase.

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

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

Implement inventory management rules based on a periodic review policy

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

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.