SimclrSimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
Stars: ✭ 2,720 (+3138.1%)
Mutual labels: self-supervised-learning
object-aware-contrastiveObject-aware Contrastive Learning for Debiased Scene Representation (NeurIPS 2021)
Stars: ✭ 44 (-47.62%)
Mutual labels: self-supervised-learning
S2-BNNS2-BNN: Bridging the Gap Between Self-Supervised Real and 1-bit Neural Networks via Guided Distribution Calibration (CVPR 2021)
Stars: ✭ 53 (-36.9%)
Mutual labels: self-supervised-learning
form2fit[ICRA 2020] Train generalizable policies for kit assembly with self-supervised dense correspondence learning.
Stars: ✭ 78 (-7.14%)
Mutual labels: self-supervised-learning
temporal-sslVideo Representation Learning by Recognizing Temporal Transformations. In ECCV, 2020.
Stars: ✭ 46 (-45.24%)
Mutual labels: self-supervised-learning
Revisiting-Contrastive-SSLRevisiting Contrastive Methods for Unsupervised Learning of Visual Representations. [NeurIPS 2021]
Stars: ✭ 81 (-3.57%)
Mutual labels: self-supervised-learning
TransferlearningTransfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
Stars: ✭ 8,481 (+9996.43%)
Mutual labels: self-supervised-learning
Self-Supervised-GANsTensorflow Implementation for paper "self-supervised generative adversarial networks"
Stars: ✭ 34 (-59.52%)
Mutual labels: self-supervised-learning
CLSAofficial implemntation for "Contrastive Learning with Stronger Augmentations"
Stars: ✭ 48 (-42.86%)
Mutual labels: self-supervised-learning
video-pacecode for our ECCV-2020 paper: Self-supervised Video Representation Learning by Pace Prediction
Stars: ✭ 95 (+13.1%)
Mutual labels: self-supervised-learning
SimMIMThis is an official implementation for "SimMIM: A Simple Framework for Masked Image Modeling".
Stars: ✭ 717 (+753.57%)
Mutual labels: self-supervised-learning
3DInfomaxMaking self-supervised learning work on molecules by using their 3D geometry to pre-train GNNs. Implemented in DGL and Pytorch Geometric.
Stars: ✭ 107 (+27.38%)
Mutual labels: self-supervised-learning
SelfGNNA 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).
Stars: ✭ 24 (-71.43%)
Mutual labels: self-supervised-learning
SCL📄 Spatial Contrastive Learning for Few-Shot Classification (ECML/PKDD 2021).
Stars: ✭ 42 (-50%)
Mutual labels: self-supervised-learning
VQ-APCVector Quantized Autoregressive Predictive Coding (VQ-APC)
Stars: ✭ 34 (-59.52%)
Mutual labels: self-supervised-learning
SfmlearnerAn unsupervised learning framework for depth and ego-motion estimation from monocular videos
Stars: ✭ 1,661 (+1877.38%)
Mutual labels: self-supervised-learning
naruNeural Relation Understanding: neural cardinality estimators for tabular data
Stars: ✭ 76 (-9.52%)
Mutual labels: self-supervised-learning
exponential-moving-average-normalizationPyTorch implementation of EMAN for self-supervised and semi-supervised learning: https://arxiv.org/abs/2101.08482
Stars: ✭ 76 (-9.52%)
Mutual labels: self-supervised-learning
ccglTKDE 22. CCCL: Contrastive Cascade Graph Learning.
Stars: ✭ 20 (-76.19%)
Mutual labels: self-supervised-learning
libaiLiBai(李白): A Toolbox for Large-Scale Distributed Parallel Training
Stars: ✭ 284 (+238.1%)
Mutual labels: self-supervised-learning
