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NJUwuxiaotong's Projects

awesome-pytorch-list icon awesome-pytorch-list

A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.

borg icon borg

Deduplicating archiver with compression and authenticated encryption.

commefficient icon commefficient

PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms

das_2020_redistricting_production_code icon das_2020_redistricting_production_code

Official release of source code for the Disclosure Avoidance System (DAS) used to protect against the disclosure of individual information based on published statistical summaries.

dbdb icon dbdb

dog bed database(500 lines or less)

densenet icon densenet

Densely Connected Convolutional Networks, In CVPR 2017 (Best Paper Award).

external-attention-pytorch icon external-attention-pytorch

🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐

fair_flearn icon fair_flearn

Fair Resource Allocation in Federated Learning (ICLR '20)

faiss icon faiss

A library for efficient similarity search and clustering of dense vectors.

federated-learning icon federated-learning

A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561

fedml icon fedml

A Research-oriented Federated Learning Library. Supporting distributed computing, mobile/IoT on-device training, and standalone simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. Join our Slack Community:(https://join.slack.com/t/fedml/shared_invite/zt-havwx1ee-a1xfOUrATNfc9DFqU~r34w)

fedprox icon fedprox

Federated Optimization in Heterogeneous Networks (MLSys '20)

hadamard_response icon hadamard_response

Hadamard Response: Communication efficient, sample optimal, linear time locally private learning of distributions

invertinggradients icon invertinggradients

Algorithms to recover input data from their gradient signal through a neural network

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