Qin Liang's starred repositories
annotated_deep_learning_paper_implementations
🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
awesome-compose
Awesome Docker Compose samples
ruoyi-vue-pro
🔥 官方推荐 🔥 RuoYi-Vue 全新 Pro 版本，优化重构所有功能。基于 Spring Boot + MyBatis Plus + Vue & Element 实现的后台管理系统 + 微信小程序，支持 RBAC 动态权限、数据权限、SaaS 多租户、Flowable 工作流、三方登录、支付、短信、商城、CRM、ERP 等功能。你的 ⭐️ Star ⭐️，是作者生发的动力！
Reinforcement-learning-with-tensorflow
Simple Reinforcement learning tutorials, 莫烦Python 中文AI教学
Pytorch-UNet
PyTorch implementation of the U-Net for image semantic segmentation with high quality images
nginx-tutorial
这是一个 Nginx 极简教程，目的在于帮助新手快速入门 Nginx。
Getting-Things-Done-with-Pytorch
Jupyter Notebook tutorials on solving real-world problems with Machine Learning & Deep Learning using PyTorch. Topics: Face detection with Detectron 2, Time Series anomaly detection with LSTM Autoencoders, Object Detection with YOLO v5, Build your first Neural Network, Time Series forecasting for Coronavirus daily cases, Sentiment Analysis with BER
flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
basic_reinforcement_learning
An introductory series to Reinforcement Learning (RL) with comprehensive step-by-step tutorials.
Transformers4Rec
Transformers4Rec is a flexible and efficient library for sequential and session-based recommendation and works with PyTorch.
reinforcement_learning_course_materials
Lecture notes, tutorial tasks including solutions as well as online videos for the reinforcement learning course hosted by Paderborn University
ai_code_reader
AI项目阅读器 by渡码
applied-reinforcement-learning
Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks
vibration_gan
Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.
Vibration-Based-Fault-Diagnosis-with-Low-Delay
Python codes “Jupyter notebooks” for the paper entitled "A Hybrid Method for Condition Monitoring and Fault Diagnosis of Rolling Bearings With Low System Delay, IEEE Trans. on Instrumentation and Measurement, Aug. 2022. Techniques used: Wavelet Packet Transform (WPT) & Fast Fourier Transform (FFT). Application: vibration-based fault diagnosis.
Multivariate_Time_Series_Prediction_Transformers
Repository of my Bsc. Thesis. Here you can find the Thesis pdf file and the following Notebook shows the coding part of my Bachelor Thesis for the Information and Communication Systems and Services bachelor degree in the University of Applied Science Technikum Wien.