588 Open source projects that are alternatives of or similar to dbscan

SSH distribution for erlang

Code for 'Constrained Contrastive Distribution Learning for Unsupervised Anomaly Detection and Localisation in Medical Images' [MICCAI 2021]

Using machine learning on your anki collection to enhance the scheduling via semantic clustering and semantic similarity

Create and manage clusters for large amounts of markers

Python machine learning applications in image processing, recommender system, matrix completion, netflix problem and algorithm implementations including Co-clustering, Funk SVD, SVD++, Non-negative Matrix Factorization, Koren Neighborhood Model, Koren Integrated Model, Dawid-Skene, Platt-Burges, Expectation Maximization, Factor Analysis, ISTA, F…

Tensorflow implementation of "Deep Multimodal Subspace Clustering Networks"

Consul - based cluster manager that can be plugged into Vert.x ecosystem.

An implementation of a Quartz Scheduler JobStore using Hazelcast distributed Collections

Deep Metric Transfer for Label Propagation with Limited Annotated Data

Flexible Statistics and Data Analysis (FSDA) extends MATLAB for a robust analysis of data sets affected by different sources of heterogeneity. It is open source software licensed under the European Union Public Licence (EUPL). FSDA is a joint project by the University of Parma and the Joint Research Centre of the European Commission.

Visually cluster your emails by sender, domain, and more to identify waste

This repository is a recommended track, designed to get started with Machine Learning.

A clustering tutorial with scikit-learn for beginners.

A repository of resources for understanding the concepts of machine learning/deep learning.

Pytorch Deep Clustering with Convolutional Autoencoders implementation

Fuzzy c-means Clustering

Vectorized Machine Learning in Python 🐍 From Scratch

Dirichlet Process K-means

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Hazelcast .NET Client

ML algorithm for real-time classification

Topic modelling on financial news with Natural Language Processing

PyTorch Implementation of VAENAR-TTS: Variational Auto-Encoder based Non-AutoRegressive Text-to-Speech Synthesis.

PyTorch code for NeurIPSW 2020 paper (4th Workshop on Meta-Learning) "Few-Shot Unsupervised Continual Learning through Meta-Examples"

Project work and Assignments for Machine learning specialization course on Coursera by University of washington

Modeling molecular ensembles with scalable data structures and parallel computing

Semantic Structure-based Unsupervised Deep Hashing IJCAI2018

k-means clustering in Ruby

The OpenSVC node agent

Mathematical & Statistical topics to perform statistical analysis and tests; Linear Regression, Probability Theory, Monte Carlo Simulation, Statistical Sampling, Bootstrapping, Dimensionality reduction techniques (PCA, FA, CCA), Imputation techniques, Statistical Tests (Kolmogorov Smirnov), Robust Estimators (FastMCD) and more in Python and R.

Official implementation of the CVPR 2022 paper "DETReg: Unsupervised Pretraining with Region Priors for Object Detection".

SyncFlux is an Open Source InfluxDB Data synchronization and replication tool for migration purposes or HA clusters

FedGroup, A Clustered Federated Learning framework based on Tensorflow

Different clustering approaches applied on different problemsets

Image2Image Translation Research

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

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

ML-AI Community | Open Source | Built in Bharat for the World | Data science problem statements and solutions

[ICCV2021] Learning to Track Objects from Unlabeled Videos

TOD: GPU-accelerated Outlier Detection via Tensor Operations

Single cell type annotation guided by cell atlases, with freedom to be queer

Dual CNN Models for Unsupervised Monocular Depth Estimation

Experiments on unsupervised point cloud reconstruction.

Heart Disease prediction using 5 algorithms

[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

pyMCR: Multivariate Curve Resolution for Python

Awesome Graph Self-Supervised Learning

A simple C# class using Watson TCP to enable a one-to-one high availability cluster.

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

TensorFlow implementation for "Guided Optical Flow Learning"

Rcpp Machine Learning: Fast robust NMF, divisive clustering, and more

Python port of R's Comprehensive Dynamic Time Warp algorithms package

TrajSuite is a cross-platform Java application that provides a suite of trajectory data-mining and visualisation features.

Visual exploration of clustered data.

ssdeep cluster analysis for malware files

SHARP: Single-cell RNA-seq Hyper-fast and Accurate processing via ensemble Random Projection

Pytorch implementation of four neural network based domain adaptation techniques: DeepCORAL, DDC, CDAN and CDAN+E. Evaluated on benchmark dataset Office31.

Code release for "Learning Shape Abstractions by Assembling Volumetric Primitives " (CVPR 2017)

DDC-Outlier: Preventing medication errors using unsupervised learning

A python package to assess cluster tendency