Ryan0v0
Do not go gentle into that good night🪐🧗 Cambridge Machine Learning Systems Lab & Vector Institute. Prev: AWS AI Lab.
University of Cambridge
Pinned Repositories
flower
Flower: A Friendly Federated AI Framework
DIG
A library for graph deep learning research
GNNLens2
Visualization tool for Graph Neural Networks
raydp
RayDP provides simple APIs for running Spark on Ray and integrating Spark with AI libraries.
AR_piano
IEEE VR2021 Poster: Hand-by-Hand Mentor: An AR-based Training System for Piano Performance
BUAA_BigDataCourse
北航大数据科学导论作业-中文垃圾邮件过滤/交通出行数据分析(Spark/Hadoop)
CLUES
[NeurIPS 2024] CLUES🔍: Collaborative Private-domain High-quality Data Selection for LLMs via Training Dynamics
Flower-VCE
Virtual Client Engine for Flower Simulation
Google_ML_Camp
Google Machine Learning Winter Camp-Group Mc2: ‘ICalligraph’ Customized Chinese Fonts Generating & Sharing Platform
SoftwareEngineering_Project
北航软工个人项目-实验室设备管理系统
Ryan0v0's Repositories
Ryan0v0/SoftwareEngineering_Project
北航软工个人项目-实验室设备管理系统
Ryan0v0/Flower-VCE
Virtual Client Engine for Flower Simulation
Ryan0v0/Oxford-Hack-2022
Ryan0v0/Ryan0v0.github.io-original
Ryan0v0's blog
Ryan0v0/HashCode2022
Group-《再别康桥》
Ryan0v0/academic-webpage
Ryan0v0/Bohr_Solar_System_Model_of_Atom-Simulation
Course Design of Computer Animation Algorithm and Technology 北航计算机动画算法与技术暑期课终期作业
Ryan0v0/DataBaseDesign
基于Web的考生信息查询系统
Ryan0v0/DT-FM
Ryan0v0/eth-light-crawler
This tool uses Ethereum's peer-discovery protocol to measure the size of the Ethereum network (testnets included)
Ryan0v0/exp
Ryan0v0/feddst
Federated Dynamic Sparse Training
Ryan0v0/FedML
FedML - The federated and distributed machine learning library enabling machine learning anywhere at any scale. It's backed by FedML, Inc (https://FedML.ai). Supporting large-scale geo-distributed training, cross-device federated learning on smartphones/IoTs, cross-silo federated learning on data silos, and research simulation. Best Paper Award at NeurIPS 2020 Federated Learning workshop. FedML’s core technology is backed by years of cutting-edge research represented in 50+ publications in ML/FL Algorithms, Security/Privacy, Systems, and Applications, as well as 10 years of industrial experience in Distributed Systems, Cloud Computing, and Mobile/IoT Systems.
Ryan0v0/FedML-exp
Ryan0v0/FedML-exp0
Ryan0v0/flower-exp
Ryan0v0/flower-profiler
Flower - A Friendly Federated Learning Framework
Ryan0v0/mphil-project-exp
Ryan0v0/Multilingual-Federated-Learning
Code for the paper "Pretrained Models for Multilingual Federated Learning" at NAACL 2022
Ryan0v0/P230-IWML
Cambridge P230 Interaction with Machine Learning Project
Ryan0v0/pets-prize-challenge-runtime
Evaluation runtime for Phase 2 of the PETs Prize Challenge
Ryan0v0/R255_Federated-Learning
Coursework-Advanced Topics in Machine Learning-Federated Learning
Ryan0v0/Ryan0v0.github.io-hugo
🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.
Ryan0v0/Sageflow
Sageflow: Robust Federated Learning against Both Stragglers and Adversaries at NeurIPS'21
Ryan0v0/ShapleyValueFL
A pip library for calculating the Shapley Value for computing the marginal contribution of each client in a Federated Learning environment.
Ryan0v0/siren
Official implementation of "Implicit Neural Representations with Periodic Activation Functions"
Ryan0v0/starter-hugo-academic
Ryan0v0/starter-hugo-academic-1
Ryan0v0/test
Ryan0v0/unrolling-sgd
code release for "Unrolling SGD: Understanding Factors Influencing Machine Unlearning" published at EuroS&P'22