snazari Goto Github PK
Name: snazari
Type: User
Name: snazari
Type: User
A 2D Kalman Filter is designed to track a moving target.
An adaptive scheme is used to estimate state & parameters for SISO systems
AH-CoLT: An AI-Human Co-Labeling Toolbox to Augment Efficient Groundtruth Generation (MLSP2019)
Python implementation of algorithms from Russell And Norvig's "Artificial Intelligence - A Modern Approach"
A sparsity aware and memory efficient implementation of "Attributed Social Network Embedding" (TKDE 2018).
:sunglasses: Curated list of awesome lists
A curated list of community detection techniques.
This project is for learning and researching on Deep RL. Maintained by University AI researchers.
Awesome Logseq resources created by the community <3
A curated list of network embedding techniques.
A collection of resources regarding the interplay between differential equations, deep learning, dynamical systems, control and numerical methods.
Library of contextual bandits algorithms
A Simulink implementation of the BJDF using the White & Speyer approach
Parallel Random Matrix Tools
Cartographer is a system that provides real-time simultaneous localization and mapping (SLAM) in 2D and 3D across multiple platforms and sensor configurations.
The GLRT is evaluated to classify Steady State Visual Evoked Potentials (SSVEP) corresponding to target frequencies.
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
multi-agent reinforcement learning for competitive environments using pytorch
This is an Move37 Reinforcement Project which is simulation of catching prey
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.
Advanced Deep Learning and Reinforcement Learning course taught at UCL in partnership with Deepmind
Deep Graph Infomax (https://arxiv.org/abs/1809.10341)
The GAP package Digraphs
Detection Filter Design for distributed intrusion 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.
CDC 2018 Paper: Distributed Proportional-Integral Observers for Fault Detection and Isolation
Material used for Deep Learning related workshops for Machine Learning Tokyo (MLT)
deep learning for wireless interference identification
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.