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hierarchical-clusteringA Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.
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hpdbscanHighly parallel DBSCAN (HPDBSCAN)
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MatrixprofileA Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
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newerhoodsA Data Clinic project that aggregates NYC Open Data at the tract-level and uses Machine Learning techniques to re-imagine neighborhood boundaries.
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CCDCode for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]
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LibclusterAn extensible C++ library of Hierarchical Bayesian clustering algorithms, such as Bayesian Gaussian mixture models, variational Dirichlet processes, Gaussian latent Dirichlet allocation and more.
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SwarmEasy clustering, registration, and distribution of worker processes for Erlang/Elixir
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COCO-LM[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining
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hmmA Hidden Markov Model implemented in Javascript
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ML-TrackThis repository is a recommended track, designed to get started with Machine Learning.
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scicloj.mlA Clojure machine learning library
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Flexible ClusteringClustering for arbitrary data and dissimilarity function
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hclustHierarchical clustering in JavaScript
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lxa5Linguistica 5: Unsupervised Learning of Linguistic Structure
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tika-similarityTika-Similarity uses the Tika-Python package (Python port of Apache Tika) to compute file similarity based on Metadata features.
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Msmbuilder🏗 Statistical models for biomolecular dynamics 🏗
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color clothcolor_cloth gets the main colors and its proportions from a cloth image ignoring the background, it uses the EM algorithm from OpenCV library, the algorithm needs an image with an item in the center of the picture.
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Dat8General Assembly's 2015 Data Science course in Washington, DC
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ensparaModeling molecular ensembles with scalable data structures and parallel computing
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Mlj.jlA Julia machine learning framework
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K Means ConstrainedK-Means clustering - constrained with minimum and maximum cluster size
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clustering-pythonDifferent clustering approaches applied on different problemsets
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matrix-completionLightweight Python library for in-memory matrix completion.
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Mob SuiteMOB-suite: Software tools for clustering, reconstruction and typing of plasmids from draft assemblies
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Cytometry Clustering ComparisonR scripts to reproduce analyses in our paper comparing clustering methods for high-dimensional cytometry data
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PLBARTOfficial code of our work, Unified Pre-training for Program Understanding and Generation [NAACL 2021].
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