List of papers, code and experiments using deep learning for time series forecasting
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Updated
Mar 16, 2024 - Jupyter Notebook
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.)
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.
A curated list of awesome supply chain blogs, podcasts, standards, projects, and examples.
Machine Learning for Retail Sales Forecasting — Features Engineering
Internship project
Full-stack Highly Scalable Cloud-native Machine Learning system for demand forecasting with realtime data streaming, inference, retraining loop, and more
Time Series Forecasting for the M5 Competition
Minimize forecast errors by developing an advanced booking model using Python
Applying a structural time series approach to California hourly electricity demand data.
Dynamic Bandwidth Monitor; leak detection method implemented in a real-time data historian
E-commerce Inventory System developed using Vue and Vuetify
Profit-driven demand forecasting with gradient boosted trees
Problem Statement for Bounce Hackathon 1.0
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 s…
Food Demand Forecasting Challenge
Energy Forecast Benchmark Toolkit is a Python project that aims to provide common tools to benchmark forecast models.
C++ Simulation Revenue Management (RM) Open Library
Perform sales unit prediction by SageMaker.
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