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VIP cheatsheet for Stanford's CME 295 Transformers and Large Language Models
Get started with Timefold quickstarts here. Optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.
Implement a ChatGPT-like LLM in PyTorch from scratch, step by step
Sequential Decision Problem Modeling Library @ Castle Lab, Princeton Univ.
Code for the AISTATS 2024 Paper "From Data Imputation to Data Cleaning - Automated Cleaning of Tabular Data Improves Downstream Predictive Performance"
Chronos: Pretrained Models for Probabilistic Time Series Forecasting
Approximate Dynamic Programming exercises from Powell (2011)
Event-based Simulation for Electric Vehicle Fleets
Discrete event traffic simulation using simpy
Google DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Hands-on Deep Reinforcement Learning, published by Packt
A Production-ready Reinforcement Learning AI Agent Library brought by the Applied Reinforcement Learning team at Meta.
Gallery of OSMnx tutorials, usage examples, and feature demonstrations.
This repository contains the code and data for the paper Strategic Workforce Planning with Deep Reinforcement Learning presented at the LOD 22 conference.
https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1
Statistical Rethinking Course for Jan-Mar 2023
ECN 5090- Machine Learning in Economics and Finance (Python)
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Matplotlib styles for scientific plotting
Time series forecasting with PyTorch
A topic-centric list of HQ open datasets.
A tutorial demonstrating how to implement deep learning models for time series forecasting
5 machine learning techniques to forecast product sales
An exhaustive reference to problems seen in real-world data along with suggestions on how to resolve them.