111 Open source projects that are alternatives of or similar to SoCo

Official PyTorch implementation of Contrastive Learning of Musical Representations

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

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

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

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

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

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

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

Generalized Deep Metric Learning.

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

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

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

PyTorch implementation of the InfoNCE loss for self-supervised 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.

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

official implemntation for "Contrastive Learning with Stronger Augmentations"

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

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

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

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

List of Publications in Graph Contrastive Learning

Vector Quantized Autoregressive Predictive Coding (VQ-APC)

Exploring Simple Siamese Representation Learning

Code and resources on scalable and efficient Graph Neural Networks

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).

Neural Relation Understanding: neural cardinality estimators for tabular data

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

Variants of Vision Transformer and its downstream tasks

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

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

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

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

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

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

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

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

Code of the NeurIPS 2021 paper: Language and Visual Entity Relationship Graph for Agent Navigation

Code for the RA-L (IROS) 2021 paper "A Hierarchical Dual Model of Environment- and Place-Specific Utility for Visual Place Recognition"

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

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

Implementation of Barlow Twins paper

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

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

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

Parametric Contrastive Learning (ICCV2021)

An unsupervised learning framework for depth and ego-motion estimation from monocular videos

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

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

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

Repository for Bilateral Cyclic Constraint and Adaptive Regularization for Unsupervised Monocular Depth Prediction (CVPR2019)

Official implementation of CATs

Tensorflow implementation of Learning Topology from Synthetic Data for Unsupervised Depth Completion (RAL 2021 & ICRA 2021)

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

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

TKDE 22. CCCL: Contrastive Cascade Graph Learning.

Official codes: Self-Supervised Learning by Estimating Twin Class Distribution

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