Popular GitHub Repositories for Maintenance Scheduling

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

AI constraint solver in Java to optimize the vehicle routing problem, employee rostering, task assignment, maintenance scheduling, conference scheduling and other planning problems.

Resource scheduling and cluster management for AI

A QoS-based scheduling system brings optimal layout and status to workloads such as microservices, web services, big data jobs, AI jobs, etc.

The open source Solver AI for Java, Python and Kotlin to optimize scheduling and routing. Solve the vehicle routing problem, employee rostering, task assignment, maintenance scheduling and other planning problems.

A batch scheduler of kubernetes for high performance workload, e.g. AI/ML, BigData, HPC

Power Tools for AI Engineers With Deadlines

Example of Multiple Multivariate Time Series Prediction with LSTM Recurrent Neural Networks in Python with Keras.

A Full Stack ML (Machine Learning) Roadmap involves learning the necessary skills and technologies to become proficient in all aspects of machine learning, including data collection and preprocessing, model development, deployment, and maintenance.

A PyTorch library for all things Reinforcement Learning (RL) for Combinatorial Optimization (CO)

Chat with and teach your calendar to solve your scheduling & time problems

Run your deep learning workloads on Kubernetes more easily and efficiently.

ClearML - Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution

SD-WEBUI-DISCORD is a Discord bot developed in Go language for stable-diffusion-webui. It utilizes the sd-webui-go to invoke the sd-webui API and supports cluster deployment of multiple sd-webui nodes with automatic scheduling and allocation.

This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'

OptaPy is an AI constraint solver for Python to optimize planning and scheduling problems.

Gradient based Hyperparameter Tuning library in PyTorch

Reinforcement learning approach for job shop scheduling

Transformer implementation with PyTorch for remaining useful life prediction on turbofan engine with NASA CMAPSS data set. Inspired by Mo, Y., Wu, Q., Li, X., & Huang, B. (2021). Remaining useful life estimation via transformer encoder enhanced by a gated convolutional unit. Journal of Intelligent Manufacturing, 1-10.

Lightweight and Parallel Deep Learning Framework