zhaohuiqiao0517 Goto Github PK
Name: ZH. Qiao
Type: User
Name: ZH. Qiao
Type: User
🧑🏫 59 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
学习tensorflow
Arknights Desktop Pets | 明日方舟桌宠
A collection of resources and papers on Diffusion Models
Summary of related papers on visual attention. Related code will be released based on Jittor gradually.
domain adaption with LSGAN for bearing fault diagnosis
Siamese network for bearing fault diagnosis
Ongoing project about bearing fault diagnosis using multi-source transfer learning.
The author's officially unofficial PyTorch BigGAN implementation.
Non-official implement of Paper:CBAM: Convolutional Block Attention Module
Code for any videos
This is an official implementation for "Contextual Transformer Networks for Visual Recognition".
cvpr2022/cvpr2021/cvpr2020/cvpr2019/cvpr2018/cvpr2017 论文/代码/解读/直播合集,极市团队整理
CVPR 2022 论文和开源项目合集
Denoising Diffusion Implicit Models
deep learning for image processing including classification and object-detection etc.
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
The deep residual shrinkage network is a variant of deep residual networks.
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Pytorch implementation of Diffusion Models (https://arxiv.org/pdf/2006.11239.pdf)
Source codes for the paper "Deep Learning Algorithms for Rotating Machinery Intelligent Diagnosis: An Open Source Benchmark Study"
Official electron build of draw.io
🍀 Pytorch implementation of various Attention Mechanisms, MLP, Re-parameter, Convolution, which is helpful to further understand papers.⭐⭐⭐
Code repository for Fault diagnosis of rotating machinery based on recurrent neural networks
Resources and Implementations of Generative Adversarial Nets: GAN, DCGAN, WGAN, CGAN, InfoGAN
Tutorial about Graph Convolutional Network(GCN)
Must-read papers on graph neural networks (GNN)
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.