Search Results for "lda"
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Showing 13 open source projects for "lda"
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We design our technology to make workforce management easier. APS offers core HR, payroll, benefits administration, attendance, recruiting, employee onboarding, and more.
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As your users rely more and more on Cloud and Internet-based technologies, reliable internet connectivity becomes more and more important to your business. With Bigleaf’s proven SD-WAN architecture, groundbreaking AI, and DDoS attack mitigation, you can finally deliver the reliable internet connectivity your business needs without the limitations of traditional networking platforms. Bigleaf’s Cloud Access Network and plug-and-play router allow for limitless control to and from anywhere your traffic needs to go. Bigleaf’s self-driving AI automatically identifies and adapts to any changing circuit conditions and traffic needs—addressing issues before they impact your users. Bigleaf puts you in the driver’s seat of every complaint and support call with full-path traffic and network performance data, delivered as actionable insights, reports, and alerts.
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Haraka
A fast, highly extensible, and event driven SMTP server
.../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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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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Drive amazing product experiences with quality product data.
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GSMLBook
Recipes for basic machine learning algorithms using sklearn in jupyter
... 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. -
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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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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... -
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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... -
With AccountEdge, business owners can organize, process, and report on their financial information so they can focus on their business. Features include: accounting, integrated payroll, sales and purchases, contact management, inventory tracking, time billing, and more.
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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 topics... -
11
knowceans
Utility classes from maps to search engine to random samplers
..., 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 Java Implementation of Latent Dirichlet Allocation (LDA) using Gibbs Sampling for Parameter Estimation and Inference
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pySPACE
Signal Processing and Classification Environment in Python using YAML
pySPACE is a modular software for processing of large data streams that has been specifically designed to enable distributed execution and empirical evaluation of signal processing chains. Various signal processing algorithms (so called nodes) are available within the software, from finite impulse response filters over data-dependent spatial filters (e.g. CSP, xDAWN) to established classifiers (e.g. SVM, LDA). pySPACE incorporates the concept of node and node chains of the MDP framework. Due...
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