Search Results for "lda"
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Showing 29 open source projects for "lda"
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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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LdA Uploader
Aplicacion para subir automáticamente QSO a LdA
Con esta aplicación se podrá subir automáticamente los QSO registrado desde varios programas como Lo4OM, WSJTX, JTDX, N1MM y otros que utilicen puertos UDP para envío de información. -
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NLP
Open source NLP guide with models, methods, and real use cases
...Its covers core NLP concepts such as text representation, feature extraction, and model evaluation, alongside hands-on implementations using tools like Word2Vec, TF-IDF, and FastText. It also introduces topic modeling with LDA, keyword extraction techniques, and document similarity methods. NLP extends into real-world applications, including sentiment analysis and text classification, helping readers connect concepts to use cases. Designed for accessibility, the project evolves over time, allowing updates and improvements as NLP techniques advance. It reflects a practical approach to learning, where readers can explore code, experiment with models, and build foundational skills in machine learning-driven language processing. -
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MatlabMachine
Machine learning algorithms
Matlab-Machine is a comprehensive collection of machine learning algorithms implemented in MATLAB. It includes both basic and advanced techniques for classification, regression, clustering, and dimensionality reduction. Designed for educational and research purposes, the repository provides clear implementations that help users understand core ML concepts. -
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Haraka
A fast, highly extensible, and event driven SMTP server
...It also works well as a MSA running on port 587 with auth and dkim_sign plugins enabled. Haraka makes no attempt to be a mail store (like Exchange or Postfix/Exim/Qmail), a LDA, nor an IMAP server (like Dovecot or Courier). Haraka is typically used with such systems. Haraka has a scalable outbound mail delivery engine built in. Mail marked as relaying (such as via an auth plugin) is automatically queued for outbound delivery. Haraka's plugin architecture provides an easily extensible MTA that complements traditional MTAs that excel at managing mail stores but do not have sufficient filtering. -
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ktrain
ktrain is a Python library that makes deep learning AI more accessible
ktrain is a Python library that makes deep learning and AI more accessible and easier to apply. ktrain is a lightweight wrapper for the deep learning library TensorFlow Keras (and other libraries) to help build, train, and deploy neural networks and other machine learning models. Inspired by ML framework extensions like fastai and ludwig, ktrain is designed to make deep learning and AI more accessible and easier to apply for both newcomers and experienced practitioners. With only a few lines... -
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Advanced Trigonometry Calculator
Precision Trigonometry: Advanced Calculator for Complex Math
...He has a degree in Electrical and Telecommunications Engineering and began developing ATC at the beginning of his undergraduate studies. He works for Miclearning, Lda since April 2020. Providing services to Multimac Hito Innovation. -
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asm68c
Assembles M6800 and 6801 assembly language source code. (and Forth)
A simple absolute mode assembler for 6800/6801. Handles the complete published set of opcodes/mnemonics. Mostly source-language compatible with the common assemblers in use circa 1985, but no macros. Now uses standard LDAA syntax by default. Produces basic S1/S9 object files and assembly listings, and now binary and MC-10 compatible cassette images. (This is for the 8-bit 6800, not the 16/32 bit 68000/coldfire processors.) -
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GSMLBook
Recipes for basic machine learning algorithms using sklearn in jupyter
...Topics include linear, multilinear, polynomial, stepwise, lasso, ridge, and logistic regression; ROC curves and measures of binary classification; nonlinear regression (including an introduction to gradient descent); classification and regression trees; random forests; neural networks; probabilistic methods (KNN, naive Bayes', QDA, LDA); dimensionality reduction with PCA; support vector machines; and clustering with K-Means, hierarchical, and DBScan. Appendices provide a review of probability and linear algebra. While some mathematical foundation is provided, it is not essential for understanding the implementations. The target audience is advanced community college and university students. -
Add Two Lines of Code. Get Full APM.Works out of the box for Rails, Django, Express, Phoenix, and more. Monitoring exceptions and performance in no time.
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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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TopicTiling
TopicTiling a text segmentation algorithm using LDA
The project has moved to GitHub: https://github.com/riedlma/topictiling -
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jLDADMM
A Java package for the LDA and DMM topic models
The Java package jLDADMM is released to provide alternative choices for topic modeling on normal or short texts. It provides implementations of the Latent Dirichlet Allocation topic model and the one-topic-per-document Dirichlet Multinomial Mixture model (i.e. mixture of unigrams), using collapsed Gibbs sampling. In addition, jLDADMM supplies a document clustering evaluation to compare topic models. See the usage of jLDADMM in its website at http://jldadmm.sourceforge.net/ -
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blueCFD-SingleCore
blueCFD-SingleCore is a subset of blueCFD-Core
FSD blueCAPE Lda is responsible for blueCFD®, blueCFD®-Core, blueCFD-SingleCore and this version of cross-compiled OpenFOAM®. blueCFD-SingleCore is a subset of blueCFD-Core, providing the same high quality cross-compiled build version of OpenFOAM® for Windows XP/Vista/7 (32 and 64bit) as in blueCFD-Core, with some additional tweaks, executables and scripts, in order to maintain usability under a Windows environment. -
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Unofficial ParaView SDK
Unofficial ParaView Development Installation
... = License and Legal = This project is not endorsed by Kitware, the makers and owners of ParaView. License: http://www.paraview.org/paraview-license/ This project is brought to you by blueCAPE Lda: http://www.bluecape.com.pt/ -
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RedLDA
Redundancy Aware LDA Gibbs Sampler
Redundancy-Aware Topic Modeling Copy Paste Redundancy or Data Duplication are prevalent in many corpora.This redundancy has a negative impact on the quality of text mining and topic modeling in particular. This is a software package of a novel variant of Latent Dirichlet Allocation (LDA) topic modeling, Red-LDA, which takes into account the inherent redundancy of corpora when modeling content. My site: http://www.cs.bgu.ac.il/~cohenrap/ Lab site: http://www.cs.bgu.ac.il/~nlpproj/ Sister project: http://sourceforge.net/projects/corpusredundanc/ -
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TextProcessor
A Java package to preprocess text datasets for posterior text analysis
The TextProcessor Java package is a text processing toolkit, which provides some frequently used text processing functions such as stemming, removing stop-words, generating a term vocabulary, and calculating the term-doc frequency matrix. Basic topic mining models such as LDA and sparse NMF are also supported. The package can also generate feature files from a given text dataset with LDA and LIBSVM format for posterior procedures such as classification or clustering. The toolkit is also being extended for more advanced text analysis tasks based on natural language processing techniques. -
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AGNES Cluster identification
R script to run several clustering algorithms using morphometric data
The R script was written to perform and compare several versions of cluster algorithms as described in: Seifert, Ritz & Csősz (2013) published in Myrmecological News. The aim is to identify (cryptic) taxa based on numeric data on morphology. The first step is a Linear Discriminant Analysis (LDA) based on subunits (ant nests) independent of any taxon information. Following analysis are Non-Metric Multidimensional Scaling (NMDS) and k-Means clustering. The NMDS scores are also summarized using K-Means. For comparison, k-Means is also run on the nest means (without preceeding LDA). Cluster assignment is summarized in an output file for all three methods. -
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Topic Model Alignment
Aligns two LDA topic models
This script aligns two topic models produced by MALLET (http://mallet.cs.umass.edu/) Reciprocal topic pairs are reported with JS divergence measure. Reciprocal pair (i,j) is defined when the distance of topic i from the first model (M1) and topic j from the second model (M2) is minimal for all pairs (i,k) for k in M2 and (l,j) for l in M1 (best match for both topics). This is useful for: 1. Qualitatively comparing different modeling parameters or algorithms 2. Identifying stable... -
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knowceans
Utility classes from maps to search engine to random samplers
.... --- Highlights: --- org.knowceans.util: IndexQuickSort, TableList: apply order of one array/list to others +++ Vectors, ArrayUtils: array convenience +++ RandomSamplers, CokusRandom, ArmSampler, Densities: random sampling and distributions +++ Arguments: command line parser +++ StopWatch, Which, ExternalProcess: runtime stuff +++ ParallelFor: OpenMP workalike +++ PatternString, NamedGroupRegex: regex convenience --- org.knowceans.corpus: CorpusSearcher: full-text search engine +++ LabelNumCorpus: svmlight corpus storage and filtering +++ NIPS corpus with text, authors, labels and citations --- org.knowceans.map: InvertibleHashMultiMap, BijectiveHashMap: implement n:m and 1:1 relations. --- Other libs: knowceans-arms = port of the Adaptive Rejection Metropolis Sampler (ARMS) for arbitrary distributions +++ lda-j = port of lda-c, implementing Latent Dirichlet Allocation (LDA) -
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A project aims to develop a system which trains LDA model in distributed enviorenment. I studied Hadoop based solution and found that Hadoop is not fit for distributed LDA training case. In this project I implement a platform based on socket.
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LISM(LDAP Identity Synchronization Manager) is identity management software to synchronize, and to make it refer as for identity information stored in various data storage such as LDAP, Active Directory, relational database, and CSV files through the LDA
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A Java Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for Parameter Estimation and Inference
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GibbsLDA++: A C/C++ Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for parameter estimation and inference. GibbsLDA++ is fast and is designed to analyze hidden/latent topic structures of large-scale (text) data collections.
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...The goal is provide an friendly interface to manage all the user things over an PHP interface. Then you can add, remove users and virtual and alias files, define passwords througth a simple interface. All this with an LDA
