SimpsomPython library for Self-Organizing Maps
Stars: ✭ 99 (+120%)
peeling-onionsA repository to store Deep Web (onion domain) crawler, scraper, and NLP tools for Tor network.
Stars: ✭ 18 (-60%)
pipeCompA R framework for pipeline benchmarking, with application to single-cell RNAseq
Stars: ✭ 38 (-15.56%)
SpectreA computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.
Stars: ✭ 31 (-31.11%)
Text SummarizerPython Framework for Extractive Text Summarization
Stars: ✭ 96 (+113.33%)
hclustHierarchical clustering in JavaScript
Stars: ✭ 39 (-13.33%)
DigitalCellSorterDigital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:
Stars: ✭ 19 (-57.78%)
Retina FeaturesProject for segmentation of blood vessels, microaneurysm and hardexudates in fundus images.
Stars: ✭ 95 (+111.11%)
clopeElixir implementation of CLOPE: A Fast and Effective Clustering Algorithm for Transactional Data
Stars: ✭ 18 (-60%)
foreachR package to provide foreach looping construct
Stars: ✭ 40 (-11.11%)
tika-similarityTika-Similarity uses the Tika-Python package (Python port of Apache Tika) to compute file similarity based on Metadata features.
Stars: ✭ 92 (+104.44%)
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.
Stars: ✭ 20 (-55.56%)
clueminerinteractive clustering platform
Stars: ✭ 13 (-71.11%)
kmeansA simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python
Stars: ✭ 18 (-60%)
FingerprintsMake it easier to compare and cross-reference the names of companies and people by applying strong normalisation.
Stars: ✭ 91 (+102.22%)
T-CorExImplementation of linear CorEx and temporal CorEx.
Stars: ✭ 31 (-31.11%)
ps pytorchimplement distributed machine learning with Pytorch + OpenMPI
Stars: ✭ 47 (+4.44%)
impfuzzyFuzzy Hash calculated from import API of PE files
Stars: ✭ 67 (+48.89%)
Lda Topic ModelingA PureScript, browser-based implementation of LDA topic modeling.
Stars: ✭ 91 (+102.22%)
G-SimCLRThis is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.
Stars: ✭ 69 (+53.33%)
DESOM🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization
Stars: ✭ 76 (+68.89%)
Gcn clusteringCode for CVPR'19 paper Linkage-based Face Clustering via GCN
Stars: ✭ 283 (+528.89%)
Cop KmeansA Python implementation of COP-KMEANS algorithm
Stars: ✭ 88 (+95.56%)
nlp-ltNatural Language Processing for Lithuanian language
Stars: ✭ 17 (-62.22%)
scikit-cmeansFlexible, extensible fuzzy c-means clustering in python.
Stars: ✭ 18 (-60%)
RATTLEReference-free reconstruction and error correction of transcriptomes from Nanopore long-read sequencing
Stars: ✭ 35 (-22.22%)
N2dA deep clustering algorithm. Code to reproduce results for the paper N2D: (Not Too) Deep Clustering via Clustering the Local Manifold of an Autoencoded Embedding.
Stars: ✭ 88 (+95.56%)
Clustering-DatasetsThis repository contains the collection of UCI (real-life) datasets and Synthetic (artificial) datasets (with cluster labels and MATLAB files) ready to use with clustering algorithms.
Stars: ✭ 189 (+320%)
hp2pHeavy Peer To Peer: a MPI based benchmark for network diagnostic
Stars: ✭ 17 (-62.22%)
ZeitlineA polylinear timeline with clustering, centred on interactions. — Doc and demo https://octree-gva.github.io/Zeitline/
Stars: ✭ 15 (-66.67%)
MlA high-level machine learning and deep learning library for the PHP language.
Stars: ✭ 1,270 (+2722.22%)
JUDI.jlJulia Devito inversion.
Stars: ✭ 71 (+57.78%)
Apartment-Interest-PredictionPredict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.
Stars: ✭ 17 (-62.22%)
SuperclusterA very fast geospatial point clustering library for browsers and Node.
Stars: ✭ 1,246 (+2668.89%)
dbscanDBSCAN Clustering Algorithm C# Implementation
Stars: ✭ 38 (-15.56%)
fsfcFeature Selection for Clustering
Stars: ✭ 80 (+77.78%)
GrouProxFedGroup, A Clustered Federated Learning framework based on Tensorflow
Stars: ✭ 20 (-55.56%)
Ml codeA repository for recording the machine learning code
Stars: ✭ 75 (+66.67%)
goudaGolang Utilities for Data Analysis
Stars: ✭ 18 (-60%)
TgcontestTelegram Data Clustering contest solution by Mindful Squirrel
Stars: ✭ 74 (+64.44%)
autoplaitPython implementation of AutoPlait (SIGMOD'14) without smoothing algorithm. NOTE: This repository is for my personal use.
Stars: ✭ 24 (-46.67%)
scicloj.mlA Clojure machine learning library
Stars: ✭ 152 (+237.78%)
topometryA comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.
Stars: ✭ 64 (+42.22%)
Pt SdaePyTorch implementation of SDAE (Stacked Denoising AutoEncoder)
Stars: ✭ 72 (+60%)
consul-cluster-managerConsul - based cluster manager that can be plugged into Vert.x ecosystem.
Stars: ✭ 17 (-62.22%)
clustering-pythonDifferent clustering approaches applied on different problemsets
Stars: ✭ 36 (-20%)
MatrixprofileA Python 3 library making time series data mining tasks, utilizing matrix profile algorithms, accessible to everyone.
Stars: ✭ 141 (+213.33%)
Dedupe🆔 A python library for accurate and scalable fuzzy matching, record deduplication and entity-resolution.
Stars: ✭ 3,241 (+7102.22%)
LabelPropagationA NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).
Stars: ✭ 101 (+124.44%)
tsamA python-based time series aggregation module (tsam) which can be used to reduce the number of time steps using typical periods or by decreasing the temporal resolution
Stars: ✭ 112 (+148.89%)
Pratchett.jsA JavaScript interpreter for Paws.
Stars: ✭ 31 (-31.11%)
ML-TrackThis repository is a recommended track, designed to get started with Machine Learning.
Stars: ✭ 19 (-57.78%)
DataScienceTutorials.jlA set of tutorials to show how to use Julia for data science (DataFrames, MLJ, ...)
Stars: ✭ 94 (+108.89%)