Pinned Repositories
2018-MLJ-Semi-supervised-feature-selection
Matlab code of the paper "Simple Strategies for Semi-Supervised Feature Selection", published in Machine Learning Journal
3dextrusion
extrude 3d shape with shading from 2d points
AI-Job-Notes
AI算法岗求职攻略（涵盖准备攻略、刷题指南、内推和AI公司清单等资料）
aiortc
WebRTC and ORTC implementation for Python using asyncio
alpaca-backtrader-api
Alpaca Trading API integrated with backtrader
article-0
Basic example of prediction from graph data
Non-static-Objects-Selection-for-SLAM
An official code for IEEE ACCESS paper "Coarse Semantic-based Keypoints Selection for Robust Mapping in Dynamic Environments"
ubigraph_server
UbiGraph Server is a system for visualizing dynamic graphs
joepfortunato's Repositories
joepfortunato/Computer-Vision-Shape-From-Shading-Photometric-stereo
Photometric stereo The input to the algorithm is a set of photographs taken in known lighting directions and the output of the algorithm is the albedo (paint), normal direction, and the height map.
joepfortunato/dictionary
A JSON representation of Webster's Unabridged Dictionary
joepfortunato/Dynamic-Ranking-of-Classification-Algorithms
There are a plethora of algorithms in data mining, machine learning and pattern recognition areas. It is very difficult for non-experts to select a particular algorithm. Hence, according to current application or task at hand, recommendation of appropriate classification algorithm for given new dataset is a very important and useful task. According to NO-FREE-LUNCH theorem, there is no best classifier for different classification problems. It is difficult to predict which learning algorithm will work best for a particular type of data and domain. A meta-learning method is presented to support selection of candidate learning algorithms. Meta learning tries to address the problem of algorithm selection by recommending promising classifiers based on meta-features. It uses a k-Nearest Neighbor algorithm to identify the datasets that are most similar to the one at hand. The performance of the candidate algorithms on those datasets is used to generate a recommendation to the user in the form of a ranking. The performance is assessed using a multi-criteria evaluation measure that takes accuracy, precision, recall and execution time into account. The evaluation methodology is general and can be adapted to other ranking problems.
joepfortunato/easyrtc
EasyRTC is a bundle of Open Source WebRTC joy! Our Javascript API hides the differences between Chrome and Firefox browsers and simplifies coding needed for working WebRTC apps. Signalling server using socket.io built on node.js. Tons of free code so you can build WebRTC apps in a few hours that just work. Demos include Instant messaging, Multiparty chatroom, Audio + Video, Screen sharing, Data channel Messaging and File sharing, and more.
joepfortunato/fractal
Fractals written in Python
joepfortunato/GeneticAlgorithmFeatureSelection
A simple example of how a genetic algorithm can be used to select the optimal subset of features to use for machine learning problems.
joepfortunato/ihog
Visualizing Object Detection Features. ICCV 2013
joepfortunato/Kinect_Shape_from_Shading
joepfortunato/mirobot-web
The Jekyll project for mirobot.io
joepfortunato/mirobot-wifi
The firmware that runs on the WiFi module for the v2 Mirobot
joepfortunato/moby
:closed_book: The largest English-language thesaurus
joepfortunato/neuronvisio
A Graphical User Interface with 3D Visualization features for NEURON simulation enviroment
joepfortunato/nile.js
Scalable peer to peer live video streaming built on torrents and webRTC
joepfortunato/open-myrtus
RCEed version of computer malware / rootkit MyRTUs / Stuxnet.
joepfortunato/openseedbox
OpenSeedbox - Open Source Multi-User Bittorrent Web UI
joepfortunato/plos-thesaurus
PLOS Subject Area Thesaurus
joepfortunato/SatelliteImageClassification
Pixel based classification of satellite imagery - feature generation using Orfeo Toolbox, feature selection using Learning Vector Quantization, CLassification using Decision Tree, Neural Networks, Random Forests, KNN and Naive Bayes Classifier
joepfortunato/SelectionModesDemo
Demonstration of different modes of selecting image areas (polygonal, lasso and rectangular selection modes). Written in Qt/C++.
joepfortunato/shape-from-shading
Computer vision application to extract actual shape of the object from the various images with different lighting conditions
joepfortunato/ShapeFromShading
Program and files for a system that predicts surface normal at each pixel given an image.
joepfortunato/ShapeFromShading-2
joepfortunato/Shapes-From-Shading
Computer Vision application to generate 3D object from 2D images.
joepfortunato/shuttleCP
ShuttleCP: Jog Dial for ChiliPeppr and bCNC
joepfortunato/timit
The DARPA TIMIT Acoustic-Phonetic Continuous Speech Corpus
joepfortunato/treernn
Recurrent Neural Networks with tree structure in Tensorflow
joepfortunato/updates.mirobot.io
The simple updates site for firmware updating
joepfortunato/v5
MailScanner v5
joepfortunato/viewer
3D Model Viewer with Three.js
joepfortunato/vscale
Verilog version of Z-scale (deprecated)
joepfortunato/wordset-dictionary
The Open Source Dictionary