YuAn_L's Projects
🧑🏫 50! 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, ... 🧠
AutoEncoder implements by keras. Including AE, DAE, DAE_CNN, VAE, VAE_CNN, CVAE, Sparse AE, Stacked DAE.
:page_facing_up: 适合中文的简历模板收集(LaTeX,HTML/JS and so on)由 @hoochanlon 维护
完整的航空发动机一维卷积神经网络训练模型
An implementation of Deep Adaptation Network with pytorch for time series data
The datases for regression task
Gradient Origin Networks - a new type of generative model that is able to quickly learn a latent representation without an encoder
西瓜书课后习题
The GitHub repository for the paper "Informer" accepted by AAAI 2021.
LeetCode解题思路
BAT程序员自己的简历模板分享出来了 。技术简历追求简单明了,避免没有必要的花哨修饰,大家可以fork到自己仓库中,基于这个模板进行修改。
Transfer Learning Benchmark Dataset
Multi-mode Fault Diagnosis Datasets with TE process (MMFDD-TEP) can be used for the purpose of comparison studies or validation of algorithms
Origin_template for sci plotting
Probabilistic Torch is library for deep generative models that extends PyTorch
A CWGAN model with regression
An elegant \LaTeX\ résumé template. 大陆镜像 https://gods.coding.net/p/resume/git
北京化工大学系统辨识作业
An up-to-date list of time-series related papers in AI venues.
Some tools for time series data
《迁移学习简明手册》LaTex源码
This repository contains a reading list of papers on Time Series Forecasting/Prediction (TSF) and Spatio-Temporal Forecasting/Prediction (STF). These papers are mainly categorized according to the type of model.
The code for Variational Progressive-Transfer Network for Soft Sensing of Multirate Industrial Processes
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