xiong-0371's Stars
bcXiong/MMFL
a unified framework of multimodal FL
bcXiong/FDARN
fpv-iplab/rulstm
Code for the Paper: Antonino Furnari and Giovanni Maria Farinella. What Would You Expect? Anticipating Egocentric Actions with Rolling-Unrolling LSTMs and Modality Attention. International Conference on Computer Vision, 2019.
mli/paper-reading
深度学习经典、新论文逐段精读
hasakiXie123/FedCMR
FedCMR: Federated Cross-Modal Retrieval 的代码(the official implementation of FedCMR: Federated Cross-Modal Retrieval)
jindongwang/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
TalwalkarLab/leaf
Leaf: A Benchmark for Federated Settings
CharlieDinh/pFedMe
Personalized Federated Learning with Moreau Envelopes (pFedMe) using Pytorch (NeurIPS 2020)
cbfinn/maml
Code for "Model-Agnostic Meta-Learning for Fast Adaptation of Deep Networks"
OpenMined/PySyft
Perform data science on data that remains in someone else's server