Search Results for "conditional random field"
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Showing 16 open source projects for "conditional random field"
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Build Agents and Models on One PlatformGemini Enterprise Agent Platform is Google Cloud's comprehensive platform for developers to build, scale, govern, and optimize agents and models. Choose from Google's most advanced models and third-party models like Anthropic's Claude Model Family.
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Demo Series - Small Business Backup By VeeamWatch this on-demand demo series and learn how to protect your Microsoft 365 data with clear, simple, actionable steps that are easy to implement for businesses of all sizes.
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Best-websites-a-programmer-should-visit
Some useful websites for programmers
Best-websites-a-programmer-should-visit is a living, community-curated directory of links that programmers consistently find useful throughout their careers. Rather than being a random bookmark dump, it organizes resources into practical categories such as algorithms, competitive programming, reading materials, podcasts, newsletters, interview prep, design, security, performance, and more. The list aims to reduce the “what should I learn next?” friction by pointing you to high-signal,... -
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csv2ldif2 is a command line tool written in perl that converts CSV files to LDIF files. Features: Platform independent, reads from STDIN and writes to STDOUT, ignoring/selecting specific fields of the CSV, choosing a custom base-dn and much more!
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Tofu
Tofu is a Python tool for generating synthetic UK Biobank data
...The study has collected and continues to collect extensive phenotypic and genotypic detail about its participants, including data from questionnaires, physical measures, sample assays, accelerometry, multimodal imaging, genome-wide genotyping and longitudinal follow-up for a wide range of health-related outcomes. Tofu will generate synthetic data which conforms to the structure of the baseline data UK Biobank sends researchers by generating random values. For categorical variables (single or multiple choices), a random value will be picked from the UK Biobank data dictionary for that field. For continuous variables, a random value will be generated based on the distribution of values reported for that field on the UK Biobank showcase. -
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TP-COBOL-DEBUGGER
A COBOL debugger for GnuCOBOL/OpenCOBOL written in GnuCOBOL
A COBOL debugger for GnuCOBOL written in GnuCOBOL. Works with both current GnuCOBOL and old GnuCOBOL/OpenCOBOL 1.1; could be used for other vendors with slightly modifications, too. Take a look at https://gnucobol.altervista.org/tp-cobol-debugger/ -
MongoDB Atlas runs apps anywhereMongoDB Atlas gives you the freedom to build and run modern applications anywhere—across AWS, Azure, and Google Cloud. With global availability in over 115 regions, Atlas lets you deploy close to your users, meet compliance needs, and scale with confidence across any geography.
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gofuzz
Fuzz testing for go
gofuzz is a lightweight fuzzing utility for Go that rapidly generates randomized, edge-case-heavy inputs to populate structs, maps, slices, and scalar fields. It’s engineered to make property tests productive by automatically traversing nested types and supplying varied values, including zero values, extremes, and random strings or byte sequences. Because it respects Go’s type system, it can generate valid shapes for complex generic or composite types with very little setup. Users can... -
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Probability Cheatsheet
A comprehensive 10-page probability cheatsheet
The probability_cheatsheet is a cheat sheet repository that summarizes key probability theory concepts, formulas, distributions, and properties in a concise format. It likely includes definitions of random variables, PMFs and PDFs, expectations, variance, common distributions (e.g. binomial, normal, Poisson, exponential), conditional probability, Bayes’ theorem, moment generating functions, and perhaps important inequalities (Markov, Chebyshev, Chernoff). The cheat sheet is intended as a quick reference for students, data scientists, statisticians, or anyone needing to recall core probability formulas without diving into textbooks. ... -
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Accord.NET Framework
Scientific computing, machine learning and computer vision for .NET
The Accord.NET Framework provides machine learning, mathematics, statistics, computer vision, computer audition, and several scientific computing related methods and techniques to .NET. The project is compatible with the .NET Framework. NET Standard, .NET Core, and Mono. -
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Template Tool Release v4.3
Unifying Business Requirements with Application Design through a GUI.
...TT is a fully functional application that facilitates communication, collaboration, requirements traceability, and rapid mock-up prototyping from the point of conception and requirements gathering, to development, testing, and implementation. With the use of drag-and-drop and push-button selections without having to write any code, TT allows end users to add field components, skip-logic, business rules, any number of nested conditional statements in the form of if/then and else-if statements, as well as to simulate workflow. TT saves the project files as EXtensible Markup Language (XML), and the various produced products export into HyperText Markup Language (HTML), JavaScript jQuery, Adobe Acrobat Portable Document Format (PDF), and Microsoft Word. ... -
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CRFasRNN
Semantic image segmentation method described in the ICCV 2015 paper
CRF-RNN is a deep neural architecture that integrates fully connected Conditional Random Fields (CRFs) with Convolutional Neural Networks (CNNs) by reformulating mean-field CRF inference as a Recurrent Neural Network. This fusion enables end-to-end training via backpropagation for semantic image segmentation tasks, eliminating the need for separate, offline post-processing steps. Our work allows computers to recognize objects in images, what is distinctive about our work is that we also recover the 2D outline of objects. ... -
Fully Managed MySQL, PostgreSQL, and SQL ServerCloud SQL handles your database ops end to end, so you can focus on your app.
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Bio.B-Gen
Initial system (box) generator for biological molecular simulations
"Bio.B-Gen" is a command line tool to generate initial systems for biological molecular simulations. "Bio.B-Gen" was mainly designed to be used with the GROMACS molecular dynamics simulation package (http://www.gromacs.org). "Bio.B-Gen" depends on the GROMACS topology and force field information (.top and .itp data files) during the generation stage. "Bio.B-Gen" adds specified number of copies of a molecule to an existing configuration to a specified spacial domain inside the system,... -
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C++, Matlab and Python library for Hidden-state Conditional Random Fields. Implements 3 algorithms: LDCRF, HCRF and CRF. For Windows and Linux, 32- and 64-bits. Optimized for multi-threading. Works with sparse or dense input features.
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Toolsverse ETL Framework
Open source Extract Transform Load engine written in Java
ETL Framework is a standalone Extract Transform Load engine written in Java. It includes executables for all major platforms and can be easily integrated into other applications. Key Features: * embeddable, open source and free * fast and scalable * uses target database features to do transformations and loads * manual and automatic data mapping * data streaming * bulk data loads * data quality features using SQL, JavaScript? and regex * data transformations Requirements *... -
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Trx Framework
.NET project for financial messages interchange supporting ISO 8583
Trx Framework allows to build client/server applications to interchange financial messages. It supports many encoding/decoding mechanisms for fixed and variable field messages, including ISO 8583, XML and conditional formatting. It is highly customizable and extensible. Trx Framework also provides a flexible channel communication infrastructure supporting TCP/IP and other technologies. -
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BitcoinSuite
Bitcoin GUI in Java
BitcoinSuite is a Java based graphical user interface for Bitcoin, a peer-to-peer decentralized cryptocurrency. It is a direct fork of open source project NamecoinJ at http://sourceforge.net/p/namecoinj/. Donations are welcome: BTC: 1PqYXpLLSeAHz3FiZmPcfr451jnzsGgXbc, NMC: N2TFbwpTNhNLeXaBD8FSBbicb6guQNXUiA -
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Conrad is both a high performance Conditional Random Field engine which can be applied to a variety of machine learning problems and a specific set of models for gene prediction using semi-Markov CRFs.
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DBNL
Dynamic Bayesian Network Library
...It allows you to create simple static networks as well as complex temporal models with changing structure. It can handle highly non-linear dependencies between multivariate random variables. The particle based inference can answer arbitrary questions given the provided evidence and can even cope with multimodal densities. The library supports the most common types of densities and conditional densities, like uniform or normal densities and facilitates user defined density functions. To enable easy use the library is taking account of modern development techniques like policy based design and template programming. ...
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