113 Open source projects that are alternatives of or similar to GCA

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

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

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

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

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

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

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

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

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

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

List of Publications in Graph Contrastive Learning

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.

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

[GRL+ @ ICML 2020] PyTorch implementation for "Deep Graph Contrastive Representation Learning" (https://arxiv.org/abs/2006.04131v2)

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

Generalized Deep Metric Learning.

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

official implemntation for "Contrastive Learning with Stronger Augmentations"

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

Official PyTorch implementation of Contrastive Learning of Musical Representations

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

Code and resources on scalable and efficient Graph Neural Networks

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

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

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

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

The PyTorch implementation of Directed Graph Contrastive Learning (DiGCL), NeurIPS-2021

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

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

FisheyeDistanceNet

[CIKM 2021] Enhancing Aspect-Based Sentiment Analysis with Supervised Contrastive Learning

A curated list for awesome graph representation learning resources.

Variants of Vision Transformer and its downstream tasks

Model-Contrastive Federated Learning (CVPR 2021)

code for AAAI21 paper "Enhancing Unsupervised Video Representation Learning by Decoupling the Scene and the Motion“

PyTorch implementation of our CVPR2021 (oral) paper "Prototype Augmentation and Self-Supervision for Incremental Learning"

VarCLR: Variable Semantic Representation Pre-training via Contrastive Learning

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Experiments with supervised contrastive learning methods with different loss functions

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

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

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

(ICCV 2021) BossNAS: Exploring Hybrid CNN-transformers with Block-wisely Self-supervised Neural Architecture Search

Awesome Graph Self-Supervised Learning

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

Self-supervised Point Cloud Prediction Using 3D Spatio-temporal Convolutional Networks

Code for the paper "Contrastive Learning Inverts the Data Generating Process".

A Fast Knowledge Distillation Framework for Visual Recognition

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

Exploring Simple Siamese Representation Learning

Code to train the SimSiam model on cifar10 using PyTorch

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

code for CVPR-2019 paper: Self-supervised Spatio-temporal Representation Learning for Videos by Predicting Motion and Appearance Statistics

Natural World Tasks

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

[EMNLP 2021] Mirror-BERT: Converting Pretrained Language Models to universal text encoders without labels.

Implementation of Barlow Twins paper

[CVPR21] Implementation of our work "Three Ways to Improve Semantic Segmentation with Self-Supervised Depth Estimation"

Code for our ACML and INTERSPEECH papers: "Speaker Diarization as a Fully Online Bandit Learning Problem in MiniVox".

Subgraph Neural Networks (NeurIPS 2020)