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Micro ClusterRun multiple micro servers and a front proxy at a time
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Rayo.jsMicro framework for Node.js
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sarviewerGenerate graphs with gnuplot or matplotlib (Python) from sar data
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Slot AttentionImplementation of Slot Attention from GoogleAI
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ExpressionMatrix2Software for exploration of gene expression data from single-cell RNA sequencing.
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DbscanDensity Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms - R package
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pygramsExtracts key terminology (n-grams) from any large collection of documents (>1000) and forecasts emergence
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DanmfA sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).
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IseeR/shiny interface for interactive visualization of data in SummarizedExperiment objects
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ssdcssdeep cluster analysis for malware files
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HdbscanA high performance implementation of HDBSCAN clustering.
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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pypmcClustering with variational Bayes and population Monte Carlo
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Practical Machine Learning With PythonMaster the essential skills needed to recognize and solve complex real-world problems with Machine Learning and Deep Learning by leveraging the highly popular Python Machine Learning Eco-system.
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bns-short-text-similarity📖 Use Bi-normal Separation to find document vectors which is used to compute similarity for shorter sentences.
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MeanrecipeGet a consensus recipe for your next meal. 🍪 🍰
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scicloj.mlA Clojure machine learning library
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distfitdistfit is a python library for probability density fitting.
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Awesome Single CellCommunity-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.
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PottslabUnsupervised multilabel image segmentation (color/gray/multichannel) based on the Potts model (aka piecewise constant Mumford-Shah model)
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HawkA web-based GUI for managing and monitoring the Pacemaker High-Availability cluster resource manager
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Revisiting-Contrastive-SSLRevisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
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CytoPyA data-centric flow/mass cytometry automated analysis framework
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CommunityA Python implementation of Girvan-Newman algorithm
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fem mesh matlabMATLAB Toolbox for Handling 2D and 3D FEM Meshes
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Ml Dl ScriptsThe repository provides usefull python scripts for ML and data analysis
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consul roleAnsible role to install Consul (cluster of) server/agent
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dmmclustdmmclust is a package for clustering short texts, based on Yin and Wang (2014)
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Clust4jA suite of classification clustering algorithm implementations for Java. A number of partitional, hierarchical and density-based algorithms including DBSCAN, k-Means, k-Medoids, MeanShift, Affinity Propagation, HDBSCAN and more.
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MAL-MapCluster and visualize relationships between anime on MyAnimeList
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GmvaeImplementation of Gaussian Mixture Variational Autoencoder (GMVAE) for Unsupervised Clustering
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Clustering With Deep LearningGeneric implementation for clustering with deep learning : representation learning (DNN) + clustering
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Janus Clouda cluster solution for Janus WebRTC server, by API proxy approach
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ResumeRiseAn NLP tool which classifies and summarizes resumes
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Flutter map marker clusterProvides beautiful animated marker clustering functionality for flutter_map. Inspired by Leaflet.markercluster
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SpectralclusterPython re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"
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Typescript Restful StarterNode.js + ExpressJS + Joi + Typeorm + Typescript + JWT + ES2015 + Clustering + Tslint + Mocha + Chai
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SPHARM-PDMShape analysis has become of increasing interest to the medical community due to its potential to precisely locate morphological changes between healthy and pathological structures. SPHARM-PDM is a tool that computes point-based models using a parametric boundary description for the computing of Shape analysis.
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Deeptemporalclustering📈 Keras implementation of the Deep Temporal Clustering (DTC) model
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R CourseUna introduccion al analisis de datos con R y R Studio
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EgoSplittingA NetworkX implementation of "Ego-splitting Framework: from Non-Overlapping to Overlapping Clusters" (KDD 2017).
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NNetalgorithm for study: multi-layer-perceptron, cluster-graph, cnn, rnn, restricted boltzmann machine, bayesian network
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PqkmeansFast and memory-efficient clustering
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Uci Ml ApiSimple API for UCI Machine Learning Dataset Repository (search, download, analyze)
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Content-based-Recommender-SystemIt is a content based recommender system that uses tf-idf and cosine similarity for N Most SImilar Items from a dataset
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Recommender-SystemsImplementing Content based and Collaborative filtering(with KNN, Matrix Factorization and Neural Networks) in Python
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NNMThe PyTorch official implementation of the CVPR2021 Poster Paper NNM: Nearest Neighbor Matching for Deep Clustering.
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