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basic-machine-learning-methods

Implementation of multiple basic machine learning methods using numpy.

commefficient

PyTorch for benchmarking communication-efficient distributed SGD optimization algorithms

crypto_system_implementation

Implement kinds of crypto systems for confidentiality and integrity in python, including symmetric crypto systems, public key crypto systems(DH, RSA)

federated-learning

Federated Learning - PyTorch

image-segmentation

2D-EM Image Segmentation using Unet, Segnet, SVM and RandomForest

materials

Bonus materials, exercises, and example projects for our Python tutorials

paxos-protocol

Slides for understanding paxos protocol

privacy

Library for training machine learning models with privacy for training data

private-preserving-mtl

python

Python tutorials

pytorch-cifar-models

3.41% and 17.11% error on CIFAR-10 and CIFAR-100

rasperberry-pi

recommender-system-datasets

A list of compatible datasets, noting other major repositories containing popular real-world datasets, along with sample code for a range of recommendation tasks.

robusttorch

An pytorch adversarial example library for attack and defense methods.

sparsefed

Implementation for NeurIPS 2021 Submission: SparseFed

test

useful_commands

cheat-sheet for useful commands

vision

Datasets, Transforms and Models specific to Computer Vision