FengHZ

Pinned Repositories

BAFFLE
The official implement of paper "Does Federated Learning Really Need Backpropagation?"
Language:Python23 1 04
CoSDA
The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.
Language:Python36 3 13
example-code
Example code for the book Fluent Python
Language:Python1 1 00
FengHZ.github.io
My personal blog.
Language:JavaScript2 1 04
handson-ml
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.
Language:Jupyter Notebook1 1 00
it-ebooks-cn
计算机电子书pdf整理
3 1 02
KD3A
Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".
Language:Python107 3 411
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.
Language:Python38 2 06
SHOT-VAE
The implementation of the SHOT-VAE model in paper "SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations"
Language:Python35 5 35
VAEGAN
Here are some code for project combine VAE and GAN
Language:Python2 1 01

FengHZ's Repositories

FengHZ/KD3A
Here is the official implementation of the model KD3A in paper "KD3A: Unsupervised Multi-Source Decentralized Domain Adaptation via Knowledge Distillation".
Language:Python107 3 411
FengHZ/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.
Language:Python38 2 06
FengHZ/CoSDA
The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.
Language:Python36 3 13
FengHZ/SHOT-VAE
The implementation of the SHOT-VAE model in paper "SHOT-VAE: Semi-supervised Deep Generative Models With Label-aware ELBO Approximations"
Language:Python35 5 35
FengHZ/BAFFLE
The official implement of paper "Does Federated Learning Really Need Backpropagation?"
Language:Python23 1 04
FengHZ/FengHZ.github.io
My personal blog.
Language:JavaScript2 1 04
FengHZ/autodp
autodp: A flexible and easy-to-use package for differential privacy
Language:Jupyter Notebook0 0
FengHZ/blessed-contrib
Build terminal dashboards using ascii/ansi art and javascript
FengHZ/business-website-template
Modern UI/UX business website design made with React.
Language:JavaScript0 0
FengHZ/chatbot-ui
An open source ChatGPT UI.
Language:TypeScript0 0
FengHZ/ChatGPT-AutoExpert
🚀🧠💬 Supercharged Custom Instructions for ChatGPT (non-coding) and ChatGPT Advanced Data Analysis (coding).
Language:JavaScript0 0
FengHZ/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。
Language:TypeScript0 0
FengHZ/chatgpt-web
用 Express 和 Vue3 搭建的 ChatGPT 演示网页
Language:Vue0 0
FengHZ/comments-for-awesome-courses
名校公开课程评价网
FengHZ/cv
My scholar homepage.
Language:HTML1 0
FengHZ/DomainBed
DomainBed is a suite to test domain generalization algorithms
Language:Python1 0
FengHZ/genact
🌀 A nonsense activity generator
FengHZ/GPTs
leaked prompts of GPTs
0 0
FengHZ/jax_privacy
Algorithms for Privacy-Preserving Machine Learning in JAX
Language:Python0 0
FengHZ/modern-resume-theme
A modern static resume template and theme. Powered by Jekyll and GitHub pages.
FengHZ/Open-Data-Analysis
Open Source Advanced Data Analysis for Large Language Models
Language:TypeScript0 0
FengHZ/open-interpreter
OpenAI's Code Interpreter in your terminal, running locally.
Language:Python0 0
FengHZ/open-procedures
Tiny, structured coding tutorials that can be searched semantically.
Language:Python0 0
FengHZ/openai-plugins-reverse-engineering
reverse engineering OpenAI plugins through system messages
FengHZ/Paper-Writing-Tips
Paper Writing Tips
0 0
FengHZ/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.
FengHZ/resume
:page_facing_up::briefcase::tophat: A simple Jekyll + GitHub Pages powered resume template.
Language:HTML1 01
FengHZ/singa
a distributed deep learning platform
FengHZ/Transfer-Learning-Library
Transfer Learning Library for Domain Adaptation, Task Adaptation, and Domain Generalization
Language:Python0 0
FengHZ/tuning_playbook
A playbook for systematically maximizing the performance of deep learning models.
0 0