Pinned Repositories
LibContinual
A Framework of Continual Learning
LibFewShot
LibFewShot: A Comprehensive Library for Few-shot Learning. TPAMI 2023.
ADM
The Pytorch code of "Asymmetric Distribution Measure for Few-shot Learning", IJCAI 2020.
awesome-few-shot-learning
A review for latest few-shot learning works
CLIP-SAM
CovaMNet
The Pytorch code of "Distribution Consistency based Covariance Metric Networks for Few-shot Learning", AAAI 2019.
DefensiveFSL
The Pytorch code of "Defensive Few-Shot Learning", TPAMI 2023.
DN4
Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.
OPML
The matlab code of "OPML: A One-Pass Closed-Form Solution for Online Metric Learning", Pattern Recognition 2018.
Trip-ROMA
The PyTorch code of "Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings", TMLR 2023.
WenbinLee's Repositories
WenbinLee/DN4
Pytorch code of "Revisiting Local Descriptor based Image-to-Class Measure for Few-shot Learning", CVPR 2019.
WenbinLee/DefensiveFSL
The Pytorch code of "Defensive Few-Shot Learning", TPAMI 2023.
WenbinLee/Trip-ROMA
The PyTorch code of "Trip-ROMA: Self-Supervised Learning with Triplets and Random Mappings", TMLR 2023.
WenbinLee/awesome-few-shot-learning
A review for latest few-shot learning works
WenbinLee/CLIP-SAM
WenbinLee/adversarial-attacks-pytorch
PyTorch implementation of adversarial attacks.
WenbinLee/AutoDL-Projects
Automated deep learning algorithms implemented in PyTorch.
WenbinLee/deit
Official DeiT repository
WenbinLee/diffae
Official implementation of Diffusion Autoencoders
WenbinLee/DIML
Towards Interpretable Deep Metric Learning with Structural Matching
WenbinLee/few-shot-meta-baseline
A New Meta-Baseline for Few-Shot Learning
WenbinLee/google-research
Google Research
WenbinLee/guided-diffusion
WenbinLee/hack-SysML
The road to hack SysML and become an system expert
WenbinLee/HTS-ECCV22
WenbinLee/ICLR2021-Oral_Distribution_Calibration
WenbinLee/IF
WenbinLee/landscapes
A dependency free library of standardized optimization test functions written in pure Python.
WenbinLee/MAST
ManifoldAlignmentStyleTransfer
WenbinLee/pixel-level-contrastive-learning
Implementation of Pixel-level Contrastive Learning, proposed in the paper "Propagate Yourself", in Pytorch
WenbinLee/PyCIL
PyCIL: A Python Toolbox for Class-Incremental Learning
WenbinLee/pyDML
Distance Metric Learning Algorithms for Python
WenbinLee/segment-anything
The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
WenbinLee/Sharp-MAML
Sharp-MAML: Sharpness-Aware Model-Agnostic Meta Learning
WenbinLee/simclr
SimCLRv2 - Big Self-Supervised Models are Strong Semi-Supervised Learners
WenbinLee/simclr-pytorch
PyTorch implementation of SimCLR: supports multi-GPU training and closely reproduces results
WenbinLee/simsiam-1
PyTorch implementation of SimSiam https//arxiv.org/abs/2011.10566
WenbinLee/solo-learn
solo-learn: a library of self-supervised methods for visual representation learning powered by Pytorch Lightning
WenbinLee/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
WenbinLee/xmodaler
X-modaler is a versatile and high-performance codebase for cross-modal analytics.