405 Open source projects that are alternatives of or similar to newerhoods

Cluster and merge similar char values: an R implementation of Open Refine clustering algorithms

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

A robust and fast clustering method for amplicon-based studies

A JavaScript library to allocate and optimize financial portfolios.

机器学习与深度学习算法示例

bring sf to spark in production

Stringlifier is on Opensource ML Library for detecting random strings in raw text. It can be used in sanitising logs, detecting accidentally exposed credentials and as a pre-processing step in unsupervised ML-based analysis of application text data.

Automatic cluster formation/healing for Elixir applications

Misc Statistics and Machine Learning codes in R

Single (i) Cell R package (iCellR) is an interactive R package to work with high-throughput single cell sequencing technologies (i.e scRNA-seq, scVDJ-seq, ST and CITE-seq).

Predict people interest in renting specific NYC apartments. The challenge combines structured data, geolocalization, time data, free text and images.

The docker for lithosphere project

Remote Sensing and GIS Software Library; python module tools for processing spatial data.

📜 Self-Supervised Learning from Images: Up-to-date reading list.

Implementation of ST-DBSCAN algorithm based on Birant 2007

Hazelcast IMDG C++ Client

A R framework for pipeline benchmarking, with application to single-cell RNAseq

Learn 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.

DBSCAN Clustering Algorithm C# Implementation

Machine Learning & Data Mining with JRuby

Cluster management for Discord bots using the Eris library.

A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.

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

Job scheduler and rate limiter, supports Clustering

Spatial Optimization

Fast and scalable spike sorting in python

FedGroup, A Clustered Federated Learning framework based on Tensorflow

Julia 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.

Implementation of a Quantum inspired genetic algorithm proposed by A quantum-inspired genetic algorithm for k-means clustering paper.

Implementation for the paper "K-Multiple-Means: A Multiple-Means Clustering Method with Specified K Clusters,", which has been accepted by KDD'2019 as an ORAL paper, in the Research Track.

Process and Analyze Mouse-Tracking Data

Compressing Representations for Self-Supervised Learning

Heart Disease prediction using 5 algorithms

A simple python implementation of Fuzzy C-means algorithm.

A catkin workspace in ROS which uses DBSCAN to identify which points in a point cloud belong to the same object.

Clustering for arbitrary data and dissimilarity function

C4E, a JVM friendly library written in Scala for both local and distributed (Spark) Clustering.

Implementation of different techniques to find insights from the satellite data using Python.

Scripts for LIUM SpkDiarization tools

MOB-suite: Software tools for clustering, reconstruction and typing of plasmids from draft assemblies

Visual exploration of clustered data.

Machine learning. Clustering by fast search and find of density peaks.

Urbica React Cluster Component for Mapbox GL JS

Repository for *SEM Paper on Event Coreference Resolution in ECB+

ssdeep cluster analysis for malware files

fast clustering algorithms

Python version of PHLAWD

Advanced Developer Async Programming Toolkit

<<------ Use SnapATAC!!

Python implementation of bag-of-concepts

Tensorflow implementation of "Deep Multimodal Subspace Clustering Networks"

A high-level Docker Services management tool built on top of Swarm

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

Remote Sensing for Movement Ecology

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

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.

3D hotspot mutation proximity analysis tool

Python Implementation for Linde-Buzo-Gray / Generalized Lloyd Algorithm for vector quantization.

Modeling molecular ensembles with scalable data structures and parallel computing

A high-level machine learning and deep learning library for the PHP language.