fermat97's Stars
FraunhoferISST/DataspaceConnector
This is an IDS Connector reference implementation.
p-christ/Deep-Reinforcement-Learning-Algorithms-with-PyTorch
PyTorch implementations of deep reinforcement learning algorithms and environments
muhanzhang/pytorch_DGCNN
PyTorch implementation of DGCNN
davidtvs/pytorch-lr-finder
A learning rate range test implementation in PyTorch
IBM/federated-learning-lib
A library for federated learning (a distributed machine learning process) in an enterprise environment.
DiscreetAI/decentralized-ml
Full stack service enabling decentralized machine learning on private data
snwagh/securenn-public
Implementation of protocols in SecureNN.
athenarc/smpc-analytics
📊 Privacy Preserving Medical Data Analytics using Secure Multi Party Computation. An End-To-End Use Case. A. Giannopoulos, D. Mouris M.Sc. thesis at the University of Athens, Greece.
shreya-28/Secure-ML
Secure Linear Regression in the Semi-Honest Two-Party Setting.
TTitcombe/NoPeekNN
PyTorch implementation of NoPeekNN
Substra/substra
Low-level Python library used to interact with a Substra network
scaleoutsystems/stackn
A minimalistic and pluggable machine learning platform for Kubernetes.
iamtrask/OM-Welcome-Package
Everything you need to know to contribute to OpenMined!
quic/aimet
AIMET is a library that provides advanced quantization and compression techniques for trained neural network models.
determined-ai/determined
Determined is an open-source machine learning platform that simplifies distributed training, hyperparameter tuning, experiment tracking, and resource management. Works with PyTorch and TensorFlow.
miquelindia90/DoubleAttentionSpeakerVerification
Pytorch implemenation of the model proposed in the paper: Double Multi-Head Attention for Speaker Verification
scrapy/scrapy
Scrapy, a fast high-level web crawling & scraping framework for Python.
python-websockets/websockets
Library for building WebSocket servers and clients in Python
matthiaslau/Turbofan-Federated-Learning-POC
Proof of concept on a predictive maintenance use case using federated learning to continuously improve predictions of the remaining lifetime of aircraft gas turbine engines.
OpenMined/opus
edhenry/fedlrn
Repository housing various federated learning resources and implementations
ggoggam/fed-ml
Git Repository for APMA DRP Project - Federated Machine Learning
Vaishali2797/Federated-Machine-Learning
Presentation on Federated Machine Learning
anttikump/Bachelors-thesis
Topic: Federated Learning, 2019
SamuelaAnastasi/PrivateAi_Challenge_FederatedLearning
Federated Learning with Pysyft Exercises
weimingwill/awesome-federated-learning
All materials you need for Federated Learning: blogs, videos, papers, and softwares, etc.
ivexuu/awesome-federated-learning
lee-man/federated-learning
Related material on Federated Learning
innovation-cat/Awesome-Federated-Machine-Learning
Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond
timmers/awesome-federated-learning
A curated list of resources dedicated to federated learning.