fenghz Goto Github PK

adversarialvariationalbayes

This repository contains the code to reproduce the core results from the paper "Adversarial Variational Bayes: Unifying Variational Autoencoders and Generative Adversarial Networks".

autoaugment

Unofficial implementation of the ImageNet, CIFAR 10 and SVHN Augmentation Policies learned by AutoAugment using pillow

autodp

autodp: A flexible and easy-to-use package for differential privacy

baffle

The official implement of paper "Does Federated Learning Really Need Backpropagation?"

blessed-contrib

Build terminal dashboards using ascii/ansi art and javascript

blogcomments

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

chexpert_sl

The supervised learning model for chexpert 5 label classification problem

comments-for-awesome-courses

名校公开课程评价网

cosda

The official implementation of our work CoSDA: Continual Source-Free Domain Adaptation.

cv

My scholar homepage.

dassl.pytorch

A PyTorch toolbox for domain adaptation and semi-supervised learning.

dataset-distillation

Dataset Distillation

datasets-for-good

List of datasets to apply stats/machine learning/technology to the world of social good.

dcgan

A demo of DCGAN in CelebA

deep_learning_object_detection

A paper list of object detection using deep learning.

deepbayes-2018

Seminars DeepBayes Summer School 2018

domainbed

DomainBed is a suite to test domain generalization algorithms

example-code

Example code for the book Fluent Python

examples

A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.

fenghz.github.io

My personal blog.

genact

🌀 A nonsense activity generator

gpts

leaked prompts of GPTs

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.

hangzhou_house_knowledge

2017年买房经历总结出来的买房购房知识分享给大家，希望对大家有所帮助。买房不易，且买且珍惜。Sharing the knowledge of buy an own house that according to the experience at hangzhou in 2017 to all the people. It's not easy to buy a own house, so I hope that it would be useful to everyone.

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。