616 Open source projects that are alternatives of or similar to Unsupervised-Learning-in-R

A curated list of community detection research papers with implementations.

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Find nodes in hierarchical clustering that are statistically significant

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

Community-curated list of software packages and data resources for single-cell, including RNA-seq, ATAC-seq, etc.

A NetworkX implementation of Label Propagation from a "Near Linear Time Algorithm to Detect Community Structures in Large-Scale Networks" (Physical Review E 2008).

Machine Learning (EE 5184) in NTU

(NeurIPS 2020 oral) Code for "Deep Transformation-Invariant Clustering" paper

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

The TensorFlow reference implementation of 'GEMSEC: Graph Embedding with Self Clustering' (ASONAM 2019).

An implementation of "Community Preserving Network Embedding" (AAAI 2017)

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

Pipeline of a keylogging attack using just an audio signal and unsupervised learning.

Revisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]

How to do Unsupervised Clustering with Keras

Uniform Manifold Approximation and Projection (UMAP) implementation in Julia

Uniform Manifold Approximation and Projection

Machine Learning Course @ Santa Clara University

DBSCAN Clustering Algorithm C# Implementation

Practice and tutorial-style notebooks covering wide variety of machine learning techniques

A sparsity aware implementation of "Deep Autoencoder-like Nonnegative Matrix Factorization for Community Detection" (CIKM 2018).

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

Python re-implementation of the spectral clustering algorithm in the paper "Speaker Diarization with LSTM"

R wrappers to connect Python dimensional reduction tools and single cell data objects (Seurat, SingleCellExperiment, etc...)

A comprehensive dimensional reduction framework to recover the latent topology from high-dimensional data.

ADENINE: A Data ExploratioN PipelINE

Learning to Cluster. A deep clustering strategy.

SCAN: Learning to Classify Images without Labels (ECCV 2020), incl. SimCLR.

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

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

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.

Python Framework for Extractive Text Summarization

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

TCyb 2018: Graph learning for multiview clustering

Parametric UMAP embeddings for representation and semisupervised learning. From the paper "Parametric UMAP: learning embeddings with deep neural networks for representation and semi-supervised learning" (Sainburg, McInnes, Gentner, 2020).

Python implementation of bag-of-concepts

Toolkit for highly memory efficient analysis of single-cell RNA-Seq, scATAC-Seq and CITE-Seq data. Analyze atlas scale datasets with millions of cells on laptop.

Implementation of linear CorEx and temporal CorEx.

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.

K-Means clustering

Code for 'Dynamics-Aware Unsupervised Discovery of Skills' (DADS). Enables skill discovery without supervision, which can be combined with model-based control.

Simple Implementation of Network Intrusion Detection System. KddCup'99 Data set is used for this project. kdd_cup_10_percent is used for training test. correct set is used for test. PCA is used for dimension reduction. SVM and KNN supervised algorithms are the classification algorithms of project. Accuracy : %83.5 For SVM , %80 For KNN

R package for Distance Metric Learning

High performance unsupervised text tokenization for Ruby

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

A comprehensive list of awesome contrastive self-supervised learning papers.

Single Cell Cluster Evaluation

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

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.

Modelling DNA methylation profiles

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

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

Unsupervised and Semi-supervised Learning with Categorical Generative Adversarial Networks

exudates detection using hybrid approach (Image Morphology & Machine Learning)

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

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

Official PyTorch code for CVPR 2020 paper "Deep Active Learning for Biased Datasets via Fisher Kernel Self-Supervision"

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

PyTorch implementation of the NIPS 2017 paper - Unsupervised Learning of Disentangled Representations from Video

Scripts for LIUM SpkDiarization tools