ruihu-zoey
security and privacy of big data/ machine learning
University of Texas at San AntonioTX, US
ruihu-zoey's Stars
drivendataorg/pets-prize-challenge-runtime
Evaluation runtime for Phase 2 of the PETs Prize Challenge
google-research/federated
A collection of Google research projects related to Federated Learning and Federated Analytics.
nttcslab/edge-consensus-learning
P2P Distributed deep learning framework that runs on PyTorch.
NSSAC/WH-challenge-baselines
Example baseline implementations for WH PETS challenge
FedML-AI/FedML
FEDML - The unified and scalable ML library for large-scale distributed training, model serving, and federated learning. FEDML Launch, a cross-cloud scheduler, further enables running any AI jobs on any GPU cloud or on-premise cluster. Built on this library, TensorOpera AI (https://TensorOpera.ai) is your generative AI platform at scale.
dayu11/Gradient-Embedding-Perturbation
zliangak/dp-fed-ls
Differentially Private Federated Learning
tensorflow/privacy
Library for training machine learning models with privacy for training data
IBM/discrete-gaussian-differential-privacy
Code for Canonne-Kamath-Steinke paper https://arxiv.org/abs/2004.00010
alpemreacar/PFL
youngyangyang04/leetcode-master
《代码随想录》LeetCode 刷题攻略:200道经典题目刷题顺序,共60w字的详细图解,视频难点剖析,50余张思维导图,支持C++,Java,Python,Go,JavaScript等多语言版本,从此算法学习不再迷茫!🔥🔥 来看看,你会发现相见恨晚!🚀
SimplifyJobs/Summer2024-Internships
Collection of Summer 2024 tech internships!
alirezadir/Machine-Learning-Interviews
This repo is meant to serve as a guide for Machine Learning/AI technical interviews.
khangich/machine-learning-interview
Machine Learning Interviews from FAANG, Snapchat, LinkedIn. I have offers from Snapchat, Coupang, Stitchfix etc. Blog: mlengineer.io.
abhireddy96/Cracking-the-Coding-Interview
Python Solutions for Cracking the Coding Interview, 6th Edition 189 Programming Questions and Solutions
MLOPTPSU/FedTorch
FedTorch is a generic repository for benchmarking different federated and distributed learning algorithms using PyTorch Distributed API.
synxlin/deep-gradient-compression
[ICLR 2018] Deep Gradient Compression: Reducing the Communication Bandwidth for Distributed Training
Zhenye-Na/crnn-pytorch
✍️ Convolutional Recurrent Neural Network in Pytorch | Text Recognition
pytorch/opacus
Training PyTorch models with differential privacy
yuxiangw/autodp
autodp: A flexible and easy-to-use package for differential privacy
ZiyueHuang/dist-ef-sgdm
shaoxiongji/federated-learning
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
epfml/ChocoSGD
Decentralized SGD and Consensus with Communication Compression: https://arxiv.org/abs/1907.09356
facebookresearch/stochastic_gradient_push
Stochastic Gradient Push for Distributed Deep Learning
AI-secure/DBA
DBA: Distributed Backdoor Attacks against Federated Learning (ICLR 2020)
inspire-group/ModelPoisoning
Code for "Analyzing Federated Learning through an Adversarial Lens" https://arxiv.org/abs/1811.12470
epfml/sparsifiedSGD
Sparsified SGD with Memory: https://arxiv.org/abs/1809.07599
karakusc/horovod
Distributed training framework for TensorFlow, Keras, and PyTorch.
ruihu-zoey/Image-Segmentation
2D-EM Image Segmentation using Unet, Segnet, SVM and RandomForest
realpython/materials
Bonus materials, exercises, and example projects for our Python tutorials