Search Results for "hidden markov java"
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Showing 121 open source projects for "hidden markov java"
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Deploy Red Hat Ansible Automation Platform on Microsoft Azure for a strategic automation solution that allows you to orchestrate, govern and operationalize your Azure environment.
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Don’t let unpaid invoices limit your business’s growth. EBizCharge plugs directly into the tools your business already uses to speed up payment collection.
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statsmodels
Statsmodels, statistical modeling and econometrics in Python
... of the one-parameter exponential family distributions. Markov switching models (MSAR), also known as Hidden Markov Models (HMM). Vector autoregressive models, VAR and structural VAR. Vector error correction model, VECM. Robust linear models with support for several M-estimators. statsmodels supports specifying models using R-style formulas and pandas DataFrames. -
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Hyperion Android
App Debugging & Inspection Tool for Android
Hyperion is a hidden plugin drawer that can easily be integrated into any app. The drawer sits discreetly under the app so that it is there when you need it and out of the way when you don't. Hyperion plugins are designed to make inspection of your app quick and simple. Be one of the first to create a third-party plugin. The plugin creation guide is a work in progress, but if you are feeling ambitious you can reference the plugins we have already created. To create your own plugin, implement... -
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pomegranate
Fast, flexible and easy to use probabilistic modelling in Python
... networks can be dropped into a mixture just as easily as a normal distribution, and hidden Markov models can be dropped into Bayes classifiers to make a classifier over sequences. Together, these two design choices enable a flexibility not seen in any other probabilistic modeling package. -
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Bisq
A decentralized bitcoin exchange network
..., and is never sent to a central server. Every Bisq node is a Tor hidden service by default. Code is open-source, and project strategy is discussed openly on Keybase and GitHub. We've made all this sophistication simple, make your first trade in under 10 minutes! Decentralized governance for a decentralized exchange, built on top of Bitcoin. -
ConnectWise ScreenConnect, formerly ConnectWise Control, is a remote support solution for Managed Service Providers (MSP), Value Added Resellers (VAR), internal IT teams, and managed security providers. Fast, reliable, secure, and simple to use, ConnectWise ScreenConnect helps businesses solve their customers' issues faster from any location. The platform features remote support, remote access, remote meeting, customization, and integrations with leading business tools.
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Anti-Spam SMTP Proxy Server
Anti-Spam SMTP Proxy Server implements multiple spam filters
The Anti-Spam SMTP Proxy (ASSP) Server project aims to create an open source platform-independent SMTP Proxy server which implements auto-whitelists, self learning Hidden-Markov-Model and/or Bayesian, Greylisting, DNSBL, DNSWL, URIBL, SPF, SRS, Backscatter, Virus scanning, attachment blocking, Senderbase and multiple other filter methods. Click 'Files' to download the professional version 2.8.1 build 24261. A linux(ubuntu 20.04 LTS) and a freeBSD 12.2 based ready to run OVA of ASSP V2... -
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JAGS is Just Another Gibbs Sampler. It is a program for the statistical analysis of Bayesian hierarchical models by Markov Chain Monte Carlo.
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Java Modelling Tools is a suite of scientific tools for performance analysis and modelling using queueing theory and colored stochastic Petri nets. Models are solved either with analytical, asymptotic or simulation methods; workload characterization tools are also included in the suite. See the project website for more details: http://jmt.sf.net
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JSignPdf is an open-source Java application that adds digital signatures to PDF documents.
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UnBBayes
Framework & GUI for Bayes Nets and other probabilistic models.
UnBBayes is a probabilistic network framework written in Java. It has both a GUI and an API with inference, sampling, learning and evaluation. It supports Bayesian networks, influence diagrams, MSBN, OOBN, HBN, MEBN/PR-OWL, PRM, structure, parameter and incremental learning. Please, visit our wiki (https://sourceforge.net/p/unbbayes/wiki/Home/) for more information. Check out the license section (https://sourceforge.net/p/unbbayes/wiki/License/) for our licensing policy. -
When it comes to cybersecurity, what your clients don’t know can really hurt them. And believe it or not, keep them safe starts with asking questions. With ConnectWise Identify Assessment, get access to risk assessment backed by the NIST Cybersecurity Framework to uncover risks across your client’s entire business, not just their networks. With a clearly defined, easy-to-read risk report in hand, you can start having meaningful security conversations that can get you on the path of keeping your clients protected from every angle. Choose from two assessment levels to cover every client’s need, from the Essentials to cover the basics to our Comprehensive Assessment to dive deeper to uncover additional risks. Our intuitive heat map shows you your client’s overall risk level and priority to address risks based on probability and financial impact. Each report includes remediation recommendations to help you create a revenue-generating action plan.
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MLPACK is a C++ machine learning library with emphasis on scalability, speed, and ease-of-use. Its aim is to make machine learning possible for novice users by means of a simple, consistent API, while simultaneously exploiting C++ language features to provide maximum performance and flexibility for expert users. * More info + downloads: https://mlpack.org * Git repo: https://github.com/mlpack/mlpack
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The program allows you to generate the hashes with the chosen algorithm (MD2, MD5, SHA-1, SHA-256, SHA-384 and SHA-512) of a single file or an entire folder (you can choose to scan the folder recursively or not recursively). It supports drag and drop of files and folders. The hash can be exported to text files. Compiled with openjdk 8. Usage: param 1: exclude symbolic links (0 or 1) [mandatory], param 2: exclude hidden files (0 or 1) [mandatory], param 3: folders to exclude [optional...
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Tree Visualisation with Visual Cues
Tree Visualisation with Visual Cues
This project extends a previous work on node link tree visualisation and interaction by providing visual clues on hidden structures. We adopt DOITree from Prefuse package (https://github.com/prefuse/Prefuse), a multi-focal tree layout algorithm, for exploring large hierarchical structures. Related publications: https://www.sciencedirect.com/science/article/pii/S1045926X1630009X https://ieeexplore.ieee.org/stamp/stamp.jsp?arnumber=6902871 -
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HipMer
A High performance distributed memory assembler for big genomic data
... and accuracy in metagenomic assemblies. It is able to reconstruct rRNA elements via a separate algorithm which relies on reference SSU and LSU Hidden Markov Models to help traverse the contig graph around ribosomal RNA regions. For more information and publications visit the HipMer Portal (http://portal.nersc.gov/project/hipmer/) MetaHipMer is one component of the ExaBiome project (https://sites.google.com/lbl.gov/exabiome/home), part of the Exascale Computing Project: https://www.exascaleproject.org/ -
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FreeNono
A free implementation of the nonogram game
FreeNono is an open-source implementation of the Nonogram game — a logic puzzle in which cells in a grid have to be colored or left blank according to numbers given at the side of the grid to reveal a hidden picture. FreeNono is distributed under the terms of the GNU GPL. -
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vbTRACK_2D
Bayesian analysis of 2D(x,y) time series particle tracks using Matlab.
Matlab program analyzes 2D (xy) time-series data (tracks) by variaional Bayes, hidden Markov, Gaussian mixture pattern recognition pattern recognition methods. It finds the number of states, the position of each state, and assigns each time-point to its most probable specific state. -
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Visual Figaro
System safety, dependability and security analysis
Visual Figaro is an integrated environment to develop component libraries for the dependability modeling tool KB3 used by EDF (http://www.edf.fr/recherche/codes-de-calcul/kb3). KB3 is based on the FIGARO reliability modeling language, suitable for describing CTMC (continuous time Markov chains), DES (discrete event simulation) models, and for automatic generation of fault trees. FIGARO is objet oriented, close to natural language and enables building libraries of reusable components (knowledge... -
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MyDiary1000
Its A Diary/TextEditor that encrypts your text data using images
... your data(password and entry) locally and hidden from everyone. -
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HMMBase.jl
Hidden Markov Models for Julia
HMMBase is not maintained anymore. It will keep being available as a Julia package but we encourage existing and new users to migrate to HiddenMarkovModels.jl which offers a similar interface. For more information see HiddenMarkovModels.jl: when did HMMs get so fast?. HMMBase provides a lightweight and efficient abstraction for hidden Markov models in Julia. Most HMMs libraries only support discrete (e.g. categorical) or Normal distributions. In contrast HMMBase builds upon Distributions.jl... -
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PCSecrets
Encrypt and manage secret text data
PCSecrets is a PC application that holds secret text data - protected by a master password and strong encryption. Use it as a password manager or just somewhere to hold any text data securely in one place. It can hold a second, hidden set of secrets that is undetectable and plausibly deniable. The program is also a PC counterpart of the Secrets for Android app. It uses the same data structure and provides synchronization that allows easy transfer of secrets between the two. For those who... -
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java YouTube video Downloader (ytd2)
hobby project to learn java coding
YTD2 is a free Java application for downloading youtube videos as flv/mp4 files. Should run on all platforms where Java is supported. GNU General Public License V3. Using hc.apache.org components. Based on the idea of "ytd" by rafalfr -
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Carnatic Music Guru / JRaaga
Carnatic Music Guru - JRaaga
VISIT THIS PAGE AS MORE FEATURES ARE BEING ADDED. If you have downloaded 2.03 or above - Use Help>Check Updates to download latest version. If that does not update: Download CMGUpdater from here: update/CMGUpdater.jar Copy it to the update/ folder of your JRaaga installation path. Try again Help>Check for updates. If it does not work. Delete existing installation. Download the latest version and try. Carnatic Music Guru is a tutor/player/lesson generator. YOU NEED Java Runtime... -
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JUMBL
J Usage Model Builder Library
JUMBL is a command line app and Java library that supports automation of model-based statistical testing. It supports creation, management, and application of usage models in the form of finite state Markov chains. -
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GATE_For_PM
Protect the master passwords of password managers from exposure.
Password managers only solve part of the password problem [ too many passwords to remember ], but leave the other important part unsolved [ user pin exposure during login : peek over the shoulder / keylogger / video camera ], if you rely on password managers for first part of the problem, they might come back and bite you big time for the 2nd part of the problem, because once your master password is exposed [ by keylogger / hidden camera ], all your passwords will be stolen. Hackers will enjoy... -
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Eta
The Eta Programming Language, a dialect of Haskell on the JVM
... interoperate with Java. Eta has global type inference, giving you a dynamic language experience, but with a strong typing hidden underneath. Eta offers a wide range of strategies for handling concurrency including Software Transaction Memory (STM), MVars, and Fibers. Using the powerful and type-safe Servant web framework, we define our API as a type and the handler types for each endpoint are automatically generated and conversions happen automatically. -
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hiddenDomains
hiddenDomains: a modern HMM to identify ChIP-seq enrichment
hiddenDomains uses a Hidden Markov Model to identify enriched domains in ChIP-seq data. It accepts BAM files for input and can perform an analysis with or without control data. The output is a BED file, ready for the UCSC genome browser, that contains the domains and is color coded according to their posterior probabilities.