828 Open source projects that are alternatives of or similar to awesome-graph-self-supervised-learning

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

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

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

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

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

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

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

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

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

Experiments for understanding disentanglement in VAE latent representations

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

Proto-RL: Reinforcement Learning with Prototypical Representations

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.

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

Python implementation of bag-of-concepts

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

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

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

[ICCV 2019]Aggregation via Separation: Boosting Facial Landmark Detector with Semi-Supervised Style Transition

Contrastive Predictive Coding for Automatic Speaker Verification

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

和（he for objective-c） —— “信息熵减机系统”

Amazon Forest Computer Vision: Satellite Image tagging code using PyTorch / Keras with lots of PyTorch tricks

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

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

Official code for "Mean Shift for Self-Supervised Learning"

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

Official project website for the CVPR 2021 paper "Exploring intermediate representation for monocular vehicle pose estimation"

Source code for GNN-LSPE (Graph Neural Networks with Learnable Structural and Positional Representations), ICLR 2022

Whitening for Self-Supervised Representation Learning | Official repository

Ladder Variational Autoencoders (LVAE) in PyTorch

Keras implementation of Representation Learning with Contrastive Predictive Coding

Unsupervised Representation Learning for Singing Voice Separation

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

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

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

Unsupervised Feature Learning via Non-parametric Instance Discrimination

Implementation of VLAE

Gradients as Features for Deep Representation Learning

🔥🔥High-Performance Face Recognition Library on PaddlePaddle & PyTorch🔥🔥

Making self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.

Tutorials for Machine Learning on Graphs

Learning to Cluster. A deep clustering strategy.

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

Neural Relation Understanding: neural cardinality estimators for tabular data

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

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

[ICCV 2019 Oral] TA3N: https://github.com/cmhungsteve/TA3N (Most updated repo)

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

Building an ACL tear detector to spot knee injuries from MRIs with PyTorch (MRNet)

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

official implemntation for "Contrastive Learning with Stronger Augmentations"

A PyTorch implementation of "SelfGNN: Self-supervised Graph Neural Networks without explicit negative sampling" paper, which appeared in The International Workshop on Self-Supervised Learning for the Web (SSL'21) @ the Web Conference 2021 (WWW'21).

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

Official adversarial mixup resynthesis repository

Multiclass image classification using Convolutional Neural Network

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

TKDE 22. CCCL: Contrastive Cascade Graph Learning.

Implementation of experiments in paper "Learning from Rules Generalizing Labeled Exemplars" to appear in ICLR2020 (https://openreview.net/forum?id=SkeuexBtDr)