edykristianto Goto Github PK
Name: Edy Kristianto
Type: User
Company: UKRIDA
Location: INDONESIA
Name: Edy Kristianto
Type: User
Company: UKRIDA
Location: INDONESIA
This is the code for Addressing Class Imbalance in Federated Learning (AAAI-2021).
Applied Deep Learning Course
Public repository containing materials used in the Sparse Autoencoder (SAE) article
Material for SOP
Implementation of simple autoencoders networks with Keras
Federated Learning Library: https://fedml.ai
😎 An up-to-date & curated list of awesome semi-supervised learning papers, methods & resources.
Anomaly detection in CANBus traffic with LSTM and Autoencoders. Idea borrowed from publications such as: https://ieeexplore.ieee.org/document/9216166.
Data Science Using Python
Cheat Sheets
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
Code for the book Deep Learning with PyTorch by Eli Stevens, Luca Antiga, and Thomas Viehmann.
An experimental platform to quickly realize and compare with popular centralized federated learning algorithms. A realization of federated learning algorithm on fairness (FedFV, Federated Learning with Fair Averaging, https://fanxlxmu.github.io/publication/ijcai2021/) was accepted by IJCAI-21 (https://www.ijcai.org/proceedings/2021/223).
Config files for my GitHub profile.
Framework For Misbehavior Detection in C-ITS (ITS-G5 & C-V2X)
A PyTorch Implementation of Federated Learning http://doi.org/10.5281/zenodo.4321561
Classifying different types of attacks in VANET system using federated learning and comparing the accuracy, precision and recall values with standard SGD approach. Used popular VeReMi dataset in the process
Federated Learning on XGBoost
Federated Learning Course Materials
Simplified implementation of federated learning in PyTorch
This repository is an official Tensorflow 2 implementation of Federated Semi-Supervised Learning with Inter-Client Consistency & Disjoint Learning
Federated Optimization in Heterogeneous Networks (MLSys '20)
Flower - A Friendly Federated Learning Framework
In-vehicle gateway intrusion detection based on ARM
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.