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abarja

Multi Agent Resource Scheduling System - VERSION 1.0 To see VERSION 0.0 go to github.com/granales/MARSS This program provides real time resource scheduling with short reaction times to disruptions such as machinery faults. Reaction times to reschedule becomes feasible taking minutes. This project does not aim to reduce uncertainty, it provides a tool to manage it. The dynamic scheduling auction-based multiagent system is thought to provide stability to a production facility as it can dynamically and periodically create schedules. This program conforms a decentralized decision-making system. It is developed to monitor production processes and rescheduling the orders if necessary. The main characteristic of the system is that it is based on the existing historical data. The system is thought to help the planners monitor the order production process and develop a rescheduling decision when the production is interrupted. The system generates a feasible solution in the short time available. In order to increase the feasibility and flexibility of such systems, agents are assigned with different roles. With the use of multi agent systems, the steel production scheduling problem becomes populated by several autonomous and heterogeneous intelligent agents with various goals, constraints, and capabilities. These agents can cooperate and coordinate their local schedules to generate desirable global schedules. Agents negotiate in auctions to assign materials to-be processed to processing resources.

adwin

ADWIN is an adaptive sliding window algorithm for detecting change and keeping updated statistics from a data stream, and use it as a black-box in place or counters in learning and mining algorithms initially not designed for drifting data.

autosc

Matlab source codes of the autoSC method

awesome-self-supervised-learning

A curated list of awesome self-supervised methods

cedas

CEDAS: Clustering of Evolving Data-streams into Arbitrary Shapes

classifier-selection

clustering-benchmark

concept-drift

Algorithms for detecting changes from a data stream.

conceptdriftdata

Generate synthetic data sets containing concept drift, or load one of two real-world concept drift benchmark data sets.

conceptdriftresources

A collection of resources for concept drift data and software

csp

Spectral Clustering for Complex Graphs

dcc

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

deep-subspace-clustering-networks

deeplearning_ai_books

deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）

divmbest

dm_reinforcementlearning

Decision making via multi-agent reinforcement learning

finch-clustering

Source Code for FINCH Clustering Algorithm

grassmann

Code for "Dictionary learning and sparse coding on Grassmann manifolds: an extrinsic solution" ICCV 2013

incremental-label-propagation

Incremental Label Propagation (ILP) - Incremental Semi-Supervised Learning from Streams for Object Classification

incrementallearning

Implementation of incremental learning algorithms for Matlab.

kema

code and data for the paper `Kernel Manifold Alignment for domain adaptation'

machine-learning-tutorials

machine learning and deep learning tutorials, articles and other resources

max99

mission_planning

Mission Planning & Task Allocation - Team A for UAV Swarm Project for BAE Systems UAV Swarm Challenge

multi-agent-pacman

Decision making & Game Theory implemented in Python

multi-agent-reinforcement-learning-using-group-decision-making-method

multi-agent reinforcement learning using group decision making method

multi-view-lrssc

Matlab implementation of multi-view low-rank sparse subspace clustering

multi_agent_systems_and_games

Multi-agent systems (MAS) are a core area of research of contemporary artificial intelligence. A multi-agent system consists of multiple decision-making agents which interact in a shared environment to achieve common or conflicting goals.

nlp_course

YSDA course in Natural Language Processing

object-proposals

Repository containing wrapper to obtain various object proposals easily