grandintegrator / gnn-db-blogpostLinks
Code behind blog post deploying Graph Neural Networks (GNNs) for Monitoring Supply Chain Risk
☆22Updated 2 years ago
Alternatives and similar repositories for gnn-db-blogpost
Users that are interested in gnn-db-blogpost are comparing it to the libraries listed below
Sorting:
- SupplyGraph | A Benchmark Dataset for Supply Chain Planning using Graph Neural Networks☆66Updated 9 months ago
- MPhil thesis code for link prediction in supply chains☆19Updated 2 years ago
- Fraud detection with the Paysim financial dataset, Neo4j Graph Data Science, and Neo4j Bloom☆47Updated last year
- Scripts inspired by book Inventory Optimization by Nicolas Vandeput.☆44Updated 4 years ago
- Reinforcement Learning for Supply Chain Optimization☆14Updated 5 years ago
- Reinforcement Learning for Optimal inventory policy☆33Updated 4 years ago
- Colab implementation for Fraud Detection in Graph Neural Networks, based on Deep Graph Library (DGL) and PyTorch backend.☆45Updated 4 years ago
- A Python library for addressing the supply chain inventory management problem using deep reinforcement learning algorithms.☆99Updated last year
- multi-echelon inventory optimization with SimPy, SciPy, sklearn, and RBFOpt☆88Updated 6 years ago
- A template for creating streamlit web applications for numerical optimization problems☆16Updated last year
- Code and Content for Manning Publication on Graph Neural Networks☆102Updated 8 months ago
- Python implementation to solve Vehicle Routing problem & Master Production Scheduling in Supply Chain Analytics & Design.☆70Updated 4 years ago
- Algorithms Library for Supply Chain Inventory Optimization☆17Updated 6 years ago
- 2021 - Github companion to "Demand Prediction in Retail: A Practical Guide to Leverage Data and Predictive Analytics" (Springer Series in…☆37Updated 4 years ago
- Code Listings for the book: Optimization Algorithms. Manning Publications, 2024.☆131Updated 7 months ago
- Repository for GNN tutorial using Pytorch and Pytorch Geometric (PyG) for ODSC 2021☆44Updated 3 years ago
- Application of Deep Reinforcement Learning to Supply Chain management. Reference: https://blog.griddynamics.com/deep-reinforcement-learni…☆11Updated 4 years ago
- ☆54Updated 3 years ago
- Mastering Reinforcement Learning with Python, published by Packt☆168Updated last month
- End-to-end automated pipeline in Python that forecasts weekly demand for products & recommends corresponding optimal prices for a retail …☆39Updated 6 years ago
- Mixed Integer Linear Programming (MILP) Model for solving airport gate assignment problem.☆13Updated 3 years ago
- Graph Machine Learning, published by Packt☆309Updated 3 weeks ago
- ☆19Updated 3 years ago
- A framework for building and training a reinforcement learning agent to run a mini supply chain☆15Updated 2 years ago
- Dynamic pricing of e-shop products through machine learning algorithms☆51Updated 4 years ago
- Supply Chain Optimization with Python☆100Updated 8 months ago
- A Reinforcement Learning solution for HVAC control to optimize energy consumption. Developed by Vector Institute and TELUS.☆72Updated 2 years ago
- Python inventory optimization and simulation tools.☆143Updated 5 months ago
- GraphRAG on Neo4j by finetuning GNN+LLM☆48Updated this week
- ☆33Updated last week