self-supervised-learning
There are 1236 repositories under self-supervised-learning topic.
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
PaddlePaddle/PaddleSpeech
Easy-to-use Speech Toolkit including Self-Supervised Learning model, SOTA/Streaming ASR with punctuation, Streaming TTS with text frontend, Speaker Verification System, End-to-End Speech Translation and Keyword Spotting. Won NAACL2022 Best Demo Award.
KevinMusgrave/pytorch-metric-learning
The easiest way to use deep metric learning in your application. Modular, flexible, and extensible. Written in PyTorch.
google-research/simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
open-mmlab/mmpretrain
OpenMMLab Pre-training Toolbox and Benchmark
open-mmlab/mmselfsup
OpenMMLab Self-Supervised Learning Toolbox and Benchmark
lightly-ai/lightly
A python library for self-supervised learning on images.
s3prl/s3prl
Self-Supervised Speech Pre-training and Representation Learning Toolkit
tinghuiz/SfMLearner
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
tinyvision/SOLIDER
A Semantic Controllable Self-Supervised Learning Framework to learn general human representations from massive unlabeled human images, which can benefit downstream human-centric tasks to the maximum extent
divelab/DIG
A library for graph deep learning research
alibaba/EasyCV
An all-in-one toolkit for computer vision
lucidrains/byol-pytorch
Usable Implementation of "Bootstrap Your Own Latent" self-supervised learning, from Deepmind, in Pytorch
ChandlerBang/awesome-self-supervised-gnn
Papers about pretraining and self-supervised learning on Graph Neural Networks (GNN).
keyu-tian/SparK
[ICLR'23 Spotlight🔥] The first successful BERT/MAE-style pretraining on any convolutional network; Pytorch impl. of "Designing BERT for Convolutional Networks: Sparse and Hierarchical Masked Modeling"
vturrisi/solo-learn
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
wvangansbeke/Unsupervised-Classification
SCAN: Learning to Classify Images without Labels, incl. SimCLR. [ECCV 2020]
LirongWu/awesome-graph-self-supervised-learning
Code for TKDE paper "Self-supervised learning on graphs: Contrastive, generative, or predictive"
TorchSSL/TorchSSL
A PyTorch-based library for semi-supervised learning (NeurIPS'21)
MCG-NJU/VideoMAE
[NeurIPS 2022 Spotlight] VideoMAE: Masked Autoencoders are Data-Efficient Learners for Self-Supervised Video Pre-Training
ViTAE-Transformer/ViTPose
The official repo for [NeurIPS'22] "ViTPose: Simple Vision Transformer Baselines for Human Pose Estimation" and [TPAMI'23] "ViTPose++: Vision Transformer for Generic Body Pose Estimation"
asheeshcric/awesome-contrastive-self-supervised-learning
A comprehensive list of awesome contrastive self-supervised learning papers.
openvinotoolkit/training_extensions
Train, Evaluate, Optimize, Deploy Computer Vision Models via OpenVINO™
microsoft/SimMIM
This is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
PaddlePaddle/PaddleHelix
Bio-Computing Platform Featuring Large-Scale Representation Learning and Multi-Task Deep Learning “螺旋桨”生物计算工具集
zhirongw/lemniscate.pytorch
Unsupervised Feature Learning via Non-parametric Instance Discrimination
jackroos/VL-BERT
Code for ICLR 2020 paper "VL-BERT: Pre-training of Generic Visual-Linguistic Representations".
YyzHarry/imbalanced-semi-self
[NeurIPS 2020] Semi-Supervision (Unlabeled Data) & Self-Supervision Improve Class-Imbalanced / Long-Tailed Learning
MrGiovanni/ModelsGenesis
[MICCAI 2019] [MEDIA 2020] Models Genesis
yueliu1999/Awesome-Deep-Graph-Clustering
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
EdisonLeeeee/Awesome-Masked-Autoencoders
A collection of literature after or concurrent with Masked Autoencoder (MAE) (Kaiming He el al.).
dipy/dipy
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.
Megvii-BaseDetection/cvpods
All-in-one Toolbox for Computer Vision Research.
chengtan9907/OpenSTL
OpenSTL: A Comprehensive Benchmark of Spatio-Temporal Predictive Learning
fangchangma/self-supervised-depth-completion
ICRA 2019 "Self-supervised Sparse-to-Dense: Self-supervised Depth Completion from LiDAR and Monocular Camera"
SwinTransformer/Transformer-SSL
This is an official implementation for "Self-Supervised Learning with Swin Transformers".