688 Open source projects that are alternatives of or similar to Self Supervised Learning Overview

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

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

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

Python implementation of bag-of-concepts

Implementation of VLAE

Python Framework for Extractive Text Summarization

How to do Unsupervised Clustering with Keras

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

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

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

Simplified version of "State Representation Learning for Control: An Overview" bibliography

Keras implementation of Representation Learning with Contrastive Predictive Coding

Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)

SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners

A curated list of community detection research papers with implementations.

🌐 Deep Embedded Self-Organizing Map: Joint Representation Learning and Self-Organization

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Official adversarial mixup resynthesis repository

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

Machine Learning Course @ Santa Clara University

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

Find nodes in hierarchical clustering that are statistically significant

TCyb 2018: Graph learning for multiview clustering

Ladder Variational Autoencoders (LVAE) in PyTorch

Machine Learning (EE 5184) in NTU

Learning to Cluster. A deep clustering strategy.

Experiments for understanding disentanglement in VAE latent representations

A curated list of awesome work on VAEs, disentanglement, representation learning, and generative models.

Global-Local Bidirectional Reasoning for Unsupervised Representation Learning of 3D Point Clouds (CVPR 2020)

Proto-RL: Reinforcement Learning with Prototypical Representations

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

Autoregressive Predictive Coding: An unsupervised autoregressive model for speech representation learning

Compressing Representations for Self-Supervised Learning

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

Contrastive Predictive Coding for Automatic Speaker Verification

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

PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning

Unsupervised Feature Learning via Non-parametric Instance Discrimination

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations

Awesome Graph Self-Supervised Learning

Unsupervised Representation Learning for Singing Voice Separation

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

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

Implementation of linear CorEx and temporal CorEx.

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

Pytorch implementation of "A Simple Framework for Contrastive Learning of Visual Representations"

VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

DBSCAN Clustering Algorithm C# Implementation

PyTorch implementation of SimCLR: A Simple Framework for Contrastive Learning of Visual Representations by T. Chen et al.

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

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.

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

representation learning on attributed graphs

Hierarchical, iterative clustering for analysis of transcriptomics data in R

Code for the paper "Contrastive Clustering" (AAAI 2021)

Implementation of CodeSLAM — Learning a Compact, Optimisable Representation for Dense Visual SLAM paper (https://arxiv.org/pdf/1804.00874.pdf)

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.

MooseFS – Open Source, Petabyte, Fault-Tolerant, Highly Performing, Scalable Network Distributed File System (Software-Defined Storage)

Mnesia autoclustering made easy!