FengHZ's repositories
mixupfamily
The implementation of mixup and mainfold mixup method with standard models(PreActRes, WideRes, Dense) in Cifar10, Cifar100 and SVHN dataset on supervised(sl) and semi-supervised(ssl) tasks.
FengHZ.github.io
My personal blog.
autodp
autodp: A flexible and easy-to-use package for differential privacy
blessed-contrib
Build terminal dashboards using ascii/ansi art and javascript
business-website-template
Modern UI/UX business website design made with React.
chatbot-ui
An open source ChatGPT UI.
ChatGPT-AutoExpert
🚀🧠💬 Supercharged Custom Instructions for ChatGPT (non-coding) and ChatGPT Advanced Data Analysis (coding).
ChatGPT-Next-Web
A well-designed cross-platform ChatGPT UI (Web / PWA / Linux / Win / MacOS). 一键拥有你自己的跨平台 ChatGPT 应用。
chatgpt-web
用 Express 和 Vue3 搭建的 ChatGPT 演示网页
comments-for-awesome-courses
名校公开课程评价网
GPTs
leaked prompts of GPTs
jax_privacy
Algorithms for Privacy-Preserving Machine Learning in JAX
modern-resume-theme
A modern static resume template and theme. Powered by Jekyll and GitHub pages.
Open-Data-Analysis
Open Source Advanced Data Analysis for Large Language Models
open-interpreter
OpenAI's Code Interpreter in your terminal, running locally.
open-procedures
Tiny, structured coding tutorials that can be searched semantically.
openai-plugins-reverse-engineering
reverse engineering OpenAI plugins through system messages
Paper-Writing-Tips
Paper Writing Tips
PFL-Non-IID
The origin of the Non-IID phenomenon is the personalization of users, who generate the Non-IID data. With Non-IID (Not Independent and Identically Distributed) issues existing in the federated learning setting, a myriad of approaches has been proposed to crack this hard nut. In contrast, the personalized federated learning may take the advantage of the Non-IID data to learn the personalized model for each user. Thanks to @Stonesjtu, this platform can also record the GPU memory usage for the model.
singa
a distributed deep learning platform
Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.