583 Open source projects that are alternatives of or similar to Spectralcluster

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

Find nodes in hierarchical clustering that are statistically significant

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

Python Framework for Extractive Text Summarization

How to do Unsupervised Clustering with Keras

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

TCyb 2018: Graph learning for multiview clustering

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

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

Machine Learning Course @ Santa Clara University

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

Python implementation of bag-of-concepts

Learning to Cluster. A deep clustering strategy.

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

DBSCAN Clustering Algorithm C# Implementation

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

Implementation of linear CorEx and temporal CorEx.

Machine Learning (EE 5184) in NTU

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

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

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

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

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

A curated list of community detection research papers with implementations.

Implementation of Slot Attention from GoogleAI

An interactive heatmap visualization built using D3.js

A news recommendation system tailored for user communities

Asynchronous Block-Level Storage Replication

Transformer for Graph Classification (Pytorch and Tensorflow)

Deep learning using tensorflow

Implementation of VLAE

Density Based Clustering of Applications with Noise (DBSCAN) and Related Algorithms - R package

A stable algorithm for GAN training

An open-source library of algorithms to analyse time series in GPU and CPU.

Paddle Distributed Training Extended. 飞桨分布式训练扩展包

R Package for Time Series Clustering Along with Optimizations for DTW

A Compositional Object-Based Approach to Learning Physical Dynamics

R package for automation of machine learning, forecasting, feature engineering, model evaluation, model interpretation, data generation, and recommenders.

Supplementary material for Hands-On Machine Learning with R, an applied book covering the fundamentals of machine learning with R.

Tensorflow implementation of "Semantic Instance Segmentation with a Discriminative Loss Function"

VIP cheatsheets for Stanford's CS 229 Machine Learning

Vector AI — A platform for building vector based applications. Encode, query and analyse data using vectors.

Pytorch implementation of "One-Sided Unsupervised Domain Mapping" NIPS 2017

Code release for "Canonical Surface Mapping via Geometric Cycle Consistency"

R/shiny interface for interactive visualization of data in SummarizedExperiment objects

Caffe implementation for "Hidden Two-Stream Convolutional Networks for Action Recognition"

Starter code of Prof. Andrew Ng's machine learning MOOC in R statistical language

A high performance implementation of HDBSCAN clustering.

Vanilla GAN implemented on top of keras/tensorflow enabling rapid experimentation & research. Branches correspond to implementations of stable GAN variations (i.e. ACGan, InfoGAN) and other promising variations of GANs like conditional and Wasserstein.

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

The repository contains source code and models to use PixelNet architecture used for various pixel-level tasks. More details can be accessed at <http://www.cs.cmu.edu/~aayushb/pixelNet/>.

This repository contains the source code and data for reproducing results of Deep Continuous Clustering paper

Jupyter Notebook exercises for k-means clustering with Python 3 and scikit-learn

t-Distributed Stochastic Neighbor Embedding (t-SNE) in Go

GSDMM: Short text clustering

Latent space autoregression for novelty detection.

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

Simple API for UCI Machine Learning Dataset Repository (search, download, analyze)

A Pytorch implementation of "Splitter: Learning Node Representations that Capture Multiple Social Contexts" (WWW 2019).

Get into physical computing with Docker and Raspberry Pi