Learning in Noisy MDP (which is governed by stochastic, exogenous input processes) with input-dependent baseline

Let LLMs schedule tasks for you and itself

⚙️ Effortless and efficient task scheduling tailored for production, built with numpy.

Python Standard Library eXtension

Job scheduling using 1D bin-packing algorithm

A simple job scheduling tool to manage tasks and GPUs in a single machine with multiple GPUs.

Tool that writes slurm job scripts based on templates and starts them for you. Includes support for multi-task multi-GPU jobs, infinite chain jobs, and hyperparameter sweeps.

MCP server for Rundeck - Runbook automation and job scheduling

This Python script uses Evolution Strategy (ES) to minimize maximum lateness on a single machine (1||Lmax).

Lightweight single-node container scheduling system with a CLI for job admission and execution across Docker containers.

Applying Dynamic Programming for Job Scheduling Problem

Azure Service Bus-powered system for processing long-running batch jobs (hours-days) with guaranteed message delivery, session management, and fault tolerance. Perfect for ETL, ML training, and large-scale data processing.

Implementation of dynamic programming for solving a job scheduling problem where jobs are deterministic but machines are able to transition from manufacturing one type of product to another, at the expense of some downtime.