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Active Client Selection for Federated Learning
android安卓模块化开发最佳实践demo
Advanced Software Engineering course materials
[IoTDI 2023/ML4IoT 2023] Async-HFL: Efficient and Robust Asynchronous Federated Learning in Hierarchical IoT Networks
Awesome Deep Graph Clustering is a collection of SOTA, novel deep graph clustering methods (papers, codes, and datasets).
Federated learning on graph and tabular data related papers, frameworks, and datasets.
A curated list of awesome Machine Learning frameworks, libraries and software.
Backdoors Framework for Deep Learning and Federated Learning. A light-weight tool to conduct your research on backdoors.
A free & modern multi-platform game development toolkit. It features low and high level engine systems, DirectX 11 and OpenGL support, complete asset pipeline, C# scripting support and a fully featured editor. (Note: Some systems are still a work in progress)
This is the code repository for the paper titled "Bias Propagation in Federated Learning" which was accepted to the International Conference on Learning Representations (ICLR) 2023.
Official code for "Federated Learning under Heterogeneous and Correlated Client Availability" (INFOCOM'23)
federated learning autonomous driving in CARLA simulation
A Contribution-based Device Selection Scheme in Federated Learning. We propose a shapley-based calulation method to measure contribution from FL clients.
IROS Paper: CEFHRI: A Communication Efficient Federated Learning Framework for Recognizing Industrial Human-Robot Interaction
A PyTorch based repository for Federate Learning with Differential Privacy
Multimodal Federated Learning via Contrastive Representation Ensemble (ICLR 2023)
[KDD'23] Learning Strong Graph Neural Networks with Weak Information
Code for CVPR2023 DaFKD : Domain-aware Federated Knowledge Distillation
Convolutional Neural Networks
Repository for code to reproduce the paper Decoupled Graph Neural Networks for Large Dynamic Graphs
A paper list of object detection using deep learning.
Python for “Deep Learning”,《深度学习》(花书) 数学推导、原理剖析与源码级别代码实现
深度学习500问,以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述,以帮助自己及有需要的读者。 全书分为18个章节,50余万字。由于水平有限,书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作,联系[email protected] 版权所有,违权必究 Tan 2018.06
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Matlab/Octave toolbox for deep learning. Includes Deep Belief Nets, Stacked Autoencoders, Convolutional Neural Nets, Convolutional Autoencoders and vanilla Neural Nets. Each method has examples to get you started.
Efficient Multi-Scale 3D Convolutional Neural Network for Segmentation of 3D Medical Scans
Detectron2 is FAIR's next-generation platform for object detection and segmentation.
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.