83 Open source projects that are alternatives of or similar to BYOL

official implemntation for "Contrastive Learning with Stronger Augmentations"

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

Official PyTorch implementation of Contrastive Learning of Musical Representations

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).

Detect (classify and localize) people, pets and objects using millimeter-wave radar.

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

Variants of Vision Transformer and its downstream tasks

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

Implementation of Barlow Twins paper

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

Code for paper "Can contrastive learning avoid shortcut solutions?" NeurIPS 2021.

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

Neural Relation Understanding: neural cardinality estimators for tabular data

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

Exploring Simple Siamese Representation Learning

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

Natural World Tasks

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

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

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

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

Parametric Instance Classification for Unsupervised Visual Feature Learning, NeurIPS 2020

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

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

Whitening for Self-Supervised Representation Learning | Official repository

OpenMMLab Self-Supervised Learning Toolbox and Benchmark

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

EsViT: Efficient self-supervised Vision Transformers

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

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

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

Code to train the SimSiam model on cifar10 using PyTorch

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

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

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

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

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

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

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

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

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

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

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

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

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

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

PiCIE: Unsupervised Semantic Segmentation using Invariance and Equivariance in clustering (CVPR2021)

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

Official code for "Self-Supervised driven Consistency Training for Annotation Efficient Histopathology Image Analysis" Published in Medical Image Analysis (MedIA) Journal, Oct, 2021.

BYOL for Audio: Self-Supervised Learning for General-Purpose Audio Representation

TKDE 22. CCCL: Contrastive Cascade Graph Learning.

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

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

List of Publications in Graph Contrastive Learning

Generalized Deep Metric Learning.

Vector Quantized Autoregressive Predictive Coding (VQ-APC)