[ICLR Workshop 2025] An official source code for paper "FlipAttack: Jailbreak LLMs via Flipping".

Everything about federated learning, including research papers, books, codes, tutorials, videos and beyond

OB_Templates is a Obsidian reference for note templates focused on new users of the application using only core plugins.

Robust Learning using Variational Inference

An infovis dashboard for international migrant stock from 1990 to the present on UNIMS 2020

Material workbench for the master-level course CS-E4740 "Federated Learning"

Bayesian Nonparametric Federated Learning of Neural Networks

Decentralized Federated Distillation with Smart Contract Logit Aggregation on Blockchain

LatentEditor: Text Driven Local Editing of 3D Scenes

This project aims to enhance the working environment on Windows

PaperGPT is an AI powered research assistant to keep track of latest publications given a set of keywords.

Use ChatGPT to summarize the arXiv papers. 全流程加速科研，利用chatgpt进行论文全文总结+专业翻译+润色+审稿+审稿回复

VIP cheatsheets for Stanford's CS 229 Machine Learning

⚔️ Blades: A Unified Benchmark Suite for Attacks and Defenses in Federated Learning

Interactive roadmaps, guides and other educational content to help developers grow in their careers.

A collection of libraries to optimise AI model performances

List of Computer Science courses with video lectures.

FEDn: An enterprise-ready open source federated learning framework. This repository contains the Python framework, CLI and API.

FedQAS: Privacy-aware Machine Reading Comprehension with Federated Learning

FedScale is a scalable and extensible open-source federated learning (FL) platform.

Convert Machine Learning Code Between Frameworks

Resumes generated using the GitHub informations

The uiatomation-rs crate is a wrapper for windows uiautomation. This crate can help you make windows uiautomation API calls conveniently.

Code and manuscript for "Efficient Per-Example Gradient Computations in Convolutional Neural Networks"

Chemical-protein Interaction extraction with an ensemble of multiple models

Implementation of the Model Inversion Attack introduced with Model Inversion Attacks that Exploit Confidence Information and Basic Countermeasures (Fredrikson Et al.)

Machine Learning for Sound Classification