124 Open source projects that are alternatives of or similar to GCL

Generalized Deep Metric Learning.

official implemntation for "Contrastive Learning with Stronger Augmentations"

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

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

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

[WWW 2021] Source code for "Graph Contrastive Learning with Adaptive Augmentation"

PyTorch implementation of the InfoNCE loss for self-supervised learning.

A curated list of awesome graph & self-supervised-learning-based recommendation.

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

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.

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

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

[NeurIPS 2021 Spotlight] Aligning Pretraining for Detection via Object-Level Contrastive Learning

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

Code for the paper "DisCont: Self-Supervised Visual Attribute Disentanglement using Context Vectors".

Code and resources on scalable and efficient Graph Neural Networks

S2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)

Official PyTorch implementation of Contrastive Learning of Musical Representations

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

AdCo: Adversarial Contrast for Efficient Learning of Unsupervised Representations from Self-Trained Negative Adversaries

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

The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.

TKDE 22. CCCL: Contrastive Cascade Graph Learning.

Awesome Graph Self-Supervised Learning

Causing: CAUsal INterpretation using Graphs

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Tensorflow Implementation for paper "self-supervised generative adversarial networks"

Self6D++: Occlusion-Aware Self-Supervised Monocular 6D Object Pose Estimation. IEEE Transactions on Pattern Analysis and Machine Intelligence (TPAMI) 2021.

PyTorch Implementation on Paper [CVPR2021]Distilling Audio-Visual Knowledge by Compositional Contrastive Learning

A real-time GNN-based method. Understanding Image Retrieval Re-Ranking: A Graph Neural Network Perspective

The authors' implementation of the "Neural Head Reenactment with Latent Pose Descriptors" (CVPR 2020) paper.

code for our ECCV-2020 paper: Self-supervised Video Representation Learning by Pace Prediction

Federated learning on graph, especially on graph neural networks (GNNs), knowledge graph, and private GNN.

A Tensorflow implementation of "Bayesian Graph Convolutional Neural Networks" (AAAI 2019).

CVC: Contrastive Learning for Non-parallel Voice Conversion (INTERSPEECH 2021, in PyTorch)

Exploring Simple Siamese Representation Learning

A Deep Graph Neural Network Architecture for Modelling Spatio-temporal Dynamics in rs-fMRI Data

LiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training

Generic image compressor for machine learning. Pytorch code for our paper "Lossy compression for lossless prediction".

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).

EsViT: Efficient self-supervised Vision Transformers

A TensorFlow 2.x implementation of Masked Autoencoders Are Scalable Vision Learners

Neural Relation Understanding: neural cardinality estimators for tabular data

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

Implementation for "3D human pose, shape and texture from low-resolution images and videos", TPAMI 2021

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

supervised and semi-supervised image classification with self-supervision (Keras)

Implements the ideas presented in https://arxiv.org/pdf/2004.11362v1.pdf by Khosla et al.

Code for reproducing results in GraphMix paper

Implementation of Barlow Twins paper

[CVPR 2020] Action Segmentation with Joint Self-Supervised Temporal Domain Adaptation (PyTorch)

Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)

This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".

PyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482

[ICRA 2020] Train generalizable policies for kit assembly with self-supervised dense correspondence learning.

Parametric Contrastive Learning (ICCV2021)

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

An index of recommendation algorithms that are based on Graph Neural Networks.

Clean & Documented TF2 implementation of "An end-to-end deep learning architecture for graph classification" (M. Zhang et al., 2018).

Code for EMNLP 2021 paper "Topic-Aware Contrastive Learning for Abstractive Dialogue Summarization"