Machine-learningThis repository will contain all the stuffs required for beginners in ML and DL do follow and star this repo for regular updates
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genieGenie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)
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Text Analytics With PythonLearn how to process, classify, cluster, summarize, understand syntax, semantics and sentiment of text data with the power of Python! This repository contains code and datasets used in my book, "Text Analytics with Python" published by Apress/Springer.
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ClusterTransformerTopic clustering library built on Transformer embeddings and cosine similarity metrics.Compatible with all BERT base transformers from huggingface.
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ML-TrackThis repository is a recommended track, designed to get started with Machine Learning.
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Timeseriesclustering.jlJulia implementation of unsupervised learning methods for time series datasets. It provides functionality for clustering and aggregating, detecting motifs, and quantifying similarity between time series datasets.
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CompressCompressing Representations for Self-Supervised Learning
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SparseLSHA Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.
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kelp-corewww.kelp-ml.org
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Flexible ClusteringClustering for arbitrary data and dissimilarity function
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RATTLEReference-free reconstruction and error correction of transcriptomes from Nanopore long-read sequencing
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Mob SuiteMOB-suite: Software tools for clustering, reconstruction and typing of plasmids from draft assemblies
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pulsehaPulseHA is a active-passive high availability cluster daemon that uses GRPC and is written in GO.
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DP meansDirichlet Process K-means
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Clusteringfast clustering algorithms
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hmmA Hidden Markov Model implemented in Javascript
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BagofconceptsPython implementation of bag-of-concepts
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baysegAn unsupervised machine learning algorithm for the segmentation of spatial data sets.
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WatsetWatset: Automatic Induction of Synsets from a Graph of Synonyms
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Minisom🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps
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ensparaModeling molecular ensembles with scalable data structures and parallel computing
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Depth clustering🚕 Fast and robust clustering of point clouds generated with a Velodyne sensor.
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ElkiELKI Data Mining Toolkit
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AnnA Anki neuronal AppendixUsing machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity
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M3CMonte Carlo Reference-based Consensus Clustering
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Machine Learning With PythonPractice and tutorial-style notebooks covering wide variety of machine learning techniques
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treecutFind nodes in hierarchical clustering that are statistically significant
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kmeansK-Means clustering
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postsackVisually cluster your emails by sender, domain, and more to identify waste
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