977 Open source projects that are alternatives of or similar to Revisiting-Contrastive-SSL

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

Awesome Graph Self-Supervised Learning

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

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

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

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

PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results

Object-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)

This is the code base for paper "G-SimCLR : Self-Supervised Contrastive Learning with Guided Projection via Pseudo Labelling" by Souradip Chakraborty, Aritra Roy Gosthipaty and Sayak Paul.

official implemntation for "Contrastive Learning with Stronger Augmentations"

Learning to Cluster. A deep clustering strategy.

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

Video Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

[NeurIPS 2021] COCO-LM: Correcting and Contrasting Text Sequences for Language Model Pretraining

Python implementation of bag-of-concepts

[WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

This repository contains the code implementation used in the paper Temporally Coherent Embeddings for Self-Supervised Video Representation Learning (TCE).

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

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

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

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

Implementation of VLAE

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

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

Contrastive Predictive Coding for Automatic Speaker Verification

code for our TPAMI 2021 paper "Source Data-absent Unsupervised Domain Adaptation through Hypothesis Transfer and Labeling Transfer"

和（he for objective-c） —— “信息熵减机系统”

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

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

Weakly Supervised 3D Object Detection from Point Clouds (VS3D), ACM MM 2020

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, 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).

One Person, One Model, One World: Learning Continual User Representation without Forgetting

Unsupervised Feature Learning via Non-parametric Instance Discrimination

Gradients as Features for Deep Representation Learning

Complete-Life-Cycle-of-a-Data-Science-Project

DBSCAN Clustering Algorithm C# Implementation

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

Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019

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

Implementation of linear CorEx and temporal CorEx.

Neural Relation Understanding: neural cardinality estimators for tabular data

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

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

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

TCyb 2018: Graph learning for multiview clustering

Find nodes in hierarchical clustering that are statistically significant

REVOLVER - Repeated Evolution in Cancer

Machine Learning (EE 5184) in NTU

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

Machine Learning Course @ Santa Clara University

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

🔴 MiniSom is a minimalistic implementation of the Self Organizing Maps

Compressing Representations for Self-Supervised Learning

A curated list of community detection research papers with implementations.

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

📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).

Python Framework for Extractive Text Summarization

How to do Unsupervised Clustering with Keras