611 Open source projects that are alternatives of or similar to MVGL

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

Implementation of linear CorEx and temporal CorEx.

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

A curated list of community detection research papers with implementations.

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

Python Framework for Extractive Text Summarization

A CLI tool/python module for generating images from text using guided diffusion and CLIP from OpenAI.

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

Python implementation of bag-of-concepts

How to do Unsupervised Clustering with Keras

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Find nodes in hierarchical clustering that are statistically significant

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

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

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

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

Machine Learning (EE 5184) in NTU

AAAI 2022: Stationary diffusion state neural estimation

DBSCAN Clustering Algorithm C# Implementation

Learning to Cluster. A deep clustering strategy.

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

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

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

Tensorflow implementation of "Deep Multimodal Subspace Clustering Networks"

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

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

Machine Learning Course @ Santa Clara University

Chainer implementation of deep-INFOMAX

Distributed Elixir Cluster on Render with libcluster and Mix Releases

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

Model for learning document embeddings along with their uncertainties

The Partitioning Around Medoids (PAM) implementation of the K-Medoids algorithm in Python [Unmaintained]

A framework for building (and incrementally growing) graph-based data structures used in hierarchical or DAG-structured clustering and nearest neighbor search

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

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

Zio-Entity, a distributed, high performance, functional event sourcing library

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

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

Unsupervised Deep Hashing with Similarity-Adaptive and Discrete Optimization (TPAMI2018)

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

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

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

Deep-learning approaches to object recognition from 3D data

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

Scripts for LIUM SpkDiarization tools

Monte Carlo Reference-based Consensus Clustering

Highly parallel DBSCAN (HPDBSCAN)

Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".

AWS-based peer discovery backend for RabbitMQ 3.7.0+

Ladder Variational Autoencoders (LVAE) in PyTorch

A sparsity aware implementation of "Alternating Direction Method of Multipliers for Non-Negative Matrix Factorization with the Beta-Divergence" (ICASSP 2014).

Version 2.1.0 released

BERT, LDA, and TFIDF based keyword extraction in Python

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

All things Atlassian and Kubernetes

Modelling DNA methylation profiles

[ECCV'20] Patch-match and Plane-regularization for Unsupervised Indoor Depth Estimation

[New Version] Theoretically Efficient and Practical Parallel DBSCAN

Unsupervised Controllable Text Generation (Applied to text Formalization)

Mining Discourse Markers for Unsupervised Sentence Representation Learning