There are 28 repositories under self-supervised-learning topic.
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
A python library for self-supervised learning on images.
Self-Supervised Speech Pre-training and Representation Learning Toolkit.
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
A library for graph deep learning research
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
A comprehensive list of awesome contrastive self-supervised learning papers.
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
Awesome Graph Self-Supervised Learning
Unsupervised Feature Learning via Non-parametric Instance Discrimination
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
Official Keras & PyTorch Implementation and Pre-trained Models for Models Genesis - MICCAI 2019
All-in-one Toolbox for Computer Vision Research.
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
Self-Supervised Learning of 3D Human Pose using Multi-view Geometry (CVPR2019)
Paper bank for Self-Supervised Learning
DIPY is the paragon 3D/4D+ imaging library in Python. Contains generic methods for spatial normalization, signal processing, machine learning, statistical analysis and visualization of medical images. Additionally, it contains specialized methods for computational anatomy including diffusion, perfusion and structural imaging.
Code for "Dense Object Nets: Learning Dense Visual Object Descriptors By and For Robotic Manipulation"
This is an official implementation for "Self-Supervised Learning with Swin Transformers".
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
Self-labelling via simultaneous clustering and representation learning. (ICLR 2020)
Dense Contrastive Learning (DenseCL) for self-supervised representation learning, CVPR 2021 Oral.
VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
[CVPR 2021] Self-supervised depth estimation from short sequences
Problem Agnostic Speech Encoder
Depth and Flow for Visual Odometry
SelFlow: Self-Supervised Learning of Optical Flow
PyTorch implementation of Bootstrap Your Own Latent: A New Approach to Self-Supervised Learning