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This repository is the the implementation of the JAIR paper: https://doi.org/10.1613/jair.1.15320. This repository provides the codebase for benchmarking Predict-then-Optimize (PtO) problems using …
Welcome! 👋 This is the working draft of the Aalto Dictionary of Machine Learning (ADictML) — a growing collection of short, clear definitions for key terms in machine learning.
Personal AI Infrastructure for upgrading humans.
Awesome machine learning for combinatorial optimization papers.
[EMNLP2025] From Automation to Autonomy: A Survey on Large Language Models in Scientific Discovery
A bespoke (and esoteric) but effective solution for converting Typst project to DOCX.
A collection of TikZ diagrams of neural networks and deep learning concepts for academic use.
Dynamic Programming solution for optimal inventory control using real-world retail data
Coloring algorithms for sparse Jacobian and Hessian matrices
A curated library of high-quality, professionally crafted prompts for common development tasks. Save time and improve your AI interactions with battle-tested prompt templates. You can install it as…
Interpretable time series autoregression for periodicity quantification
code for paper "Large Language Models as End-to-end Combinatorial Optimization Solvers"
An easy to use Arduino library to control DC motors with an L298N module
OR-Tools vs. CP Optimizer vs. CPLEX for Blocking Job Shop / Simple Job Shop Scheduling Problems
Code for the book "The Elements of Differentiable Programming".
Python-based library for inventory optimization and cost calculation using various models. Includes EOQ, Wagner-Whitin, Silver-Meal, Least Unit Cost, Lot-for-Lot, and other heuristics with a user-f…
The official SuiteSparse library: a suite of sparse matrix algorithms authored or co-authored by Tim Davis, Texas A&M University.
Use your Mac trackpad as a weighing scale