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2d-tracking-kalman-filter

A 2D Kalman Filter is designed to track a moving target.

adaptive-observer

An adaptive scheme is used to estimate state & parameters for SISO systems

ai-human-co-labeling-toolbox-ah-colt-

AH-CoLT: An AI-Human Co-Labeling Toolbox to Augment Efficient Groundtruth Generation (MLSP2019)

aima-python

Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"

asne

A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).

awesome

:sunglasses: Curated list of awesome lists

awesome-community-detection

A curated list of community detection techniques.

awesome-deep-rl

This project is for learning and researching on Deep RL. Maintained by University AI researchers.

awesome-logseq

Awesome Logseq resources created by the community <3

awesome-network-embedding

A curated list of network embedding techniques.

awesome-neural-ode

A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.

banditlib

Library of contextual bandits algorithms

beard-jones-detection-filter-example

A Simulink implementation of the BJDF using the White & Speyer approach

beyond-graph-energy-norms-of-graphs-and-matrices

bristol

Parallel Random Matrix Tools

cartographer

Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.

classification-of-ssvep-using-glrt

The GLRT is evaluated to classify Steady State Visual Evoked Potentials (SSVEP) corresponding to target frequencies.

coach

Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms

competitivemarl

multi-agent reinforcement learning for competitive environments using pytorch

correlated-q-learning

ddpg-mape

This is an Move37 Reinforcement Project which is simulation of catching prey

deeplearntoolbox

Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.

deepmind-advanced-deep-learning-and-reinforcement-learning

Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind

dgi

Deep Graph Infomax (https://arxiv.org/abs/1809.10341)

digraphs

The GAP package Digraphs

distributed-detection-filter-for-intrusion-detection

Detection Filter Design for distributed intrusion detection using spectral assignment

distributed-intruder-detection-using-spectral-assignment

This submission is an example of how the Speyer/White Detection Filter can be used for distributed intrusion detection. See Nazari et al "Distributed Detection Filter Design for Intruder Identification" American Control Conference 2016.

distributed-proportional-integral-observers-for-fault-detection-and-isolation

CDC 2018 Paper: Distributed Proportional-Integral Observers for Fault Detection and Isolation

dl-workshop-series

Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)

dl4wii

deep learning for wireless interference identification