Search Results for "conditional random field"

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,...

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!

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/

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...

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. ...

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. ...

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 *...

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

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.