Nathalia Wolf's starred repositories
End-to-end-DRL-for-FJSP
This is the official code of the publised paper 'A Multi-action Deep Reinforcement Learning Framework for Flexible Job-shop Scheduling Problem'
Deep-Reinforcement-Learning-for-cloud
Deep Q Network model for two stage resource provisioning and task scheduling for Cloud computing
Reinforcement-Learning-for-Real-time-Pricing-and-Scheduling-Control-in-EV-Charging-Stations
Reinforcement Learning for Real time Pricing and Scheduling Control in EV Charging Stations
RL-Job-Shop-Scheduling
Reinforcement learning approach for job shop scheduling
Job_Shop_Schedule_Problem
Parallel Tabu Search and Genetic Algorithm for the Job Shop Schedule Problem with Sequence Dependent Set Up Times
jsp_framework
A Python library for implementing and testing algorithm for Job-Shop Scheduling problem.
Job-Sequencing-with-Deadline
Job-shop scheduling problem . Implementation with Flask
public-jsp-cam
An unofficial implementation of Genetic Algorithms with Cluster Averaging Method for Solving Job-Shop Scheduling Problems by Python DEAP.
JobShopPRO
Program for managing orders, planning and scheduling in job shop production system using popular heuristics alghorithms.
Flow-Shop-Scheduling-Based-On-Reinforcement-Learning-Algorithm
Operations Research Application Project - Flow Shop Scheduling Based On Reinforcement Learning Algorithm
Flow-Shop-Scheduling
Genetic Algorithm for Flow Shop Scheduling
MITx_6.86x
Notes of MITx 6.86x - Machine Learning with Python: from Linear Models to Deep Learning
KoboldAI-Client
For GGUF support, see KoboldCPP: https://github.com/LostRuins/koboldcpp
MPBNGCInterface.jl
Julia package interfacing the Fortran code MPBNGC.
bundle-method
Python implementation of a proximal bundle method for non-smooth convex optimization