404 Open source projects that are alternatives of or similar to graphgrove

Clustering methods in Machine Learning includes both theory and python code of each algorithm. Algorithms include K Mean, K Mode, Hierarchical, DB Scan and Gaussian Mixture Model GMM. Interview questions on clustering are also added in the end.

All the code for a series of Medium articles on Approximate Nearest Neighbors

Unofficial python wrapper to the nanoflann k-d tree

Training of Locally Optimized Product Quantization (LOPQ) models for approximate nearest neighbor search of high dimensional data in Python and Spark.

Genie++ Fast and Robust Hierarchical Clustering with Noise Point Detection - for Python and R

Statistical Machine Intelligence & Learning Engine

Misc Statistics and Machine Learning codes in R

A Python implementation of divisive and hierarchical clustering algorithms. The algorithms were tested on the Human Gene DNA Sequence dataset and dendrograms were plotted.

Fast, linear version of CorEx for covariance estimation, dimensionality reduction, and subspace clustering with very under-sampled, high-dimensional data

Version 2.1.0 released

Watchman: An open-source social-media event-detection system

Machine Learning Course @ Santa Clara University

Scripts for LIUM SpkDiarization tools

Source code for the MorphoCluster application described in Schroeder et al. 2020

A repository to store Deep Web (onion domain) crawler, scraper, and NLP tools for Tor network.

[New Version] Theoretically Efficient and Practical Parallel DBSCAN

A computational toolkit in R for the integration, exploration, and analysis of high-dimensional single-cell cytometry and imaging data.

Java implementation for DBSCANSD, a trajectory clustering algorithm.

3D hotspot mutation proximity analysis tool

Calculate similarity of sentences & Cluster the result.

A showcase for Proto.Actor - an ultra-fast distributed actors solution for Go, C#, and Java/Kotlin.

Highly Available and Auto-scalable Magento Cluster

Adjacency-constrained hierarchical clustering of a similarity matrix

Efficient approximate k-nearest neighbors graph construction and search in Julia

Single Cell Cluster Evaluation

Elixir implementation of CLOPE: A Fast and Effective Clustering Algorithm for Transactional Data

Genie: A Fast and Robust Hierarchical Clustering Algorithm (this R package has now been superseded by genieclust)

A lightweight MQTT broker w/ full spec,Clustering,WebSocket,SSL written in Java

A Locality Sensitive Hashing (LSH) library with an emphasis on large, highly-dimensional datasets.

Find nodes in hierarchical clustering that are statistically significant

A Hidden Markov Model implemented in Javascript

AWS-based peer discovery backend for RabbitMQ 3.7.0+

Modelling DNA methylation profiles

Tika-Similarity uses the Tika-Python package (Python port of Apache Tika) to compute file similarity based on Metadata features.

High Dimensional Approximate Near(est) Neighbor

A k-d tree implementation in Go.

R package providing fast nearest neighbour search (wraps ANN library)

A Data Clinic project that aggregates NYC Open Data at the tract-level and uses Machine Learning techniques to re-imagine neighborhood boundaries.

Hierarchical clustering in JavaScript

A fast, accurate, and modularized dimensionality reduction approach based on diffusion harmonics and graph layouts. Escalates to millions of samples on a personal laptop. Adds high-dimensional big data intrinsic structure to your clustering and data visualization workflow.

Implementation of Neural Distance Embeddings for Biological Sequences (NeuroSEED) in PyTorch (NeurIPS 2021)

Workshop (6 hours): Clustering (Hdbscan, LCA, Hopach), dimension reduction (UMAP, GLRM), and anomaly detection (isolation forests).

Digital Cell Sorter (DCS): single cell RNA-seq analysis toolkit. Documentation:

K-Means clustering

Process and Analyze Mouse-Tracking Data

Easily spawn Elixir nodes (supervising, Mix configured, easy asserted / refuted) within ExUnit tests

Python version of PHLAWD

D-Lab's 6 hour introduction to machine learning in Python. Learn how to perform classification, regression, clustering, and do model selection using scikit-learn and TPOT.

A plugin to use with napari for clustering objects according to their properties.

How to deploy a MongoDB Replica Set using Docker

PulseHA is a active-passive high availability cluster daemon that uses GRPC and is written in GO.

Implementation of the k-means algorithm in PyTorch that works for large datasets

color_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.

Fast k-Nearest Neighbors Classifier for Large Datasets

Shell scripts to automate download of GitHub traffic statistics, cluster administration, and create an animated GIF.

Cluster analysis library for Golang

A simple implementation of K-means (and Bisecting K-means) clustering algorithm in Python

Calib clusters barcode tagged paired-end reads based on their barcode and sequence similarity.

A fast, scalable and light-weight C++ Fréchet distance library, exposed to python and focused on (k,l)-clustering of polygonal curves.

High-availability and horizontal scalability for InfluxDB