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Name: Benika
Type: User
Name: Benika
Type: User
BackPropagation neural network implementation in C language
Bayesian belief network implementation, and an Markov chain Monte Carlo technique that uses Gibbs sampling to do inference.
Learning Bayesian Networks
A set of utilities to perform exact probabilistic inference in Bayesian Networks (C)
Markov Chain Monte Carlo methods implemented for Bayesian Networks in C++
Bayesian neural networks for high energy physics. The project is an adaptation of FBM package by R.M. Neal
CUDA implementation of hidden Markov model training and classification
An efficient Deep Neural Network implementation
Cross platform C liblary of the Bayesian network including learning algorithm which was optimized by dynamic programming of Silander and Myllymaki(2006).
This project holds some MATLAB files that can be used for learning more about Neural Networks and Support Vector Machines. These were used to train and classify some EEG data. A real time ADC connected to a signal conditioning circuit was connected via an arduino to MATLAB and there is a GUI here that can be used to train the system for say a square/sine/triangle and then given an unknown waveform it would try and place to which class this waveform belongs to.
FragGeneScan -- hidden Markov model for predicting prokaryotic coding regions
Fast Principal Component Analysis of Large-Scale Genome-Wide Data
A tiny C library for managing SOM (Self-Organizing Maps) neural networks
A simulator examining emergent behaviour in a realistic galactic trade simulation, employing fuzzy logic, genetic algorithms and Bayesian networks.
Bayesian Network (BN) parameter learning using Expectation Maximization (EM) on Hadoop! And Age-Layered EM (ALEM) too.
hidden markov model on GPU
Project for clustering cancer patients based on hidden markov models.
Hidden Markov Model Toolkit (fork)
The Hidden Markov Model Toolkit (HTK) from University of Cambridge.
A CUDA implementation of the k-means clustering algorithm
Serial and Parallel Implementations of K-means clustering algorithm
Kernel principal component analysis using the Eigen linear algebra library [machine learning]
Multi-layer perceptron neural network implementation written in C language
Finds a value very close to the minimum of a mathematical function using a Monte Carlo method to generate random samples and pthreads to divide up the work.
[c] Simple neural network
Simple and compact neural network in C using backpropagation algorithm
Dynamic Bayesian Network library
Simple program for principal component analysis
Parallel computing toolset for relatedness and principal component analysis of SNP data
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.