Qianyu2022

personal-site

My personal website - built with React, React-Router, React-Snap for Static-Export, and GitHub Pages.

Transformer_BearingFaultDiagnosis

Using transformer to realize Bearing Fault Diagnosis

ConsensusLLM-code

Source code of our paper "Multi-Agent Consensus Seeking via Large Language Models".

Tools-to-Design-or-Visualize-Architecture-of-Neural-Network

Tools to Design or Visualize Architecture of Neural Network

Freehand-sketching-classification-by-CNN-LSTM

Using CNN-LSTM model to classify freehand-sketching images drawn by American and Chinese people.

Time-series-Classification-using-recurrent-neural-networks-

This project used deep learning techniques to analyze a dataset of time series data in order to classify it into one of 12 different classes. Preprocessing techniques such as data augmentation, including adding noise and windowing were done. Various models, including LSTM and convolutional neural networks, and transformer learning were employed.

TimeSeriesClassification_Transformer

tsai

Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai

time-series-transformers-review

A professionally curated list of awesome resources (paper, code, data, etc.) on transformers in time series.

draw_convnet

SwapCudaVersionWindows

How to swap/switch CUDA versions on Windows

denoising-diffusion-pytorch

Implementation of Denoising Diffusion Probabilistic Model in Pytorch

d2l-zh

《动手学深度学习》：面向中文读者、能运行、可讨论。中英文版被70多个国家的500多所大学用于教学。

keras-dcgan

Keras implementation of Deep Convolutional Generative Adversarial Networks

Siamese-Networks-for-One-Shot-Learning

Implementation of Siamese Neural Networks for One-shot Image Recognition

Multi-channel-DCNN

This repository stores the code for multi-channel CNN architectures implementation

LHL_Data_Science

Contains the notebooks to the exercises at Lighthouse Labs Data Science program.

Mechanical-Fault-Diagnosis-Based-on-Deep-Learning

CNN for mechanical fault diagnosis

vibration_gan

Implement GANs to generate time-series signals for imbalanced learning problem. The experiments are conducted using CWRU bearing data.

ML-University

Machine Learning Open Source University

Python-note

《Python 学习手册》（第四版 + 第五版）笔记

Python-Data-Science-Handbook

A Chinese translation of Jake Vanderplas' "Python Data Science Handbook". 《Python数据科学手册》在线Jupyter notebook中文翻译

python_for_data_analysis_2nd_chinese_version

《利用Python进行数据分析·第2版》

PyTorch_Tutorial

《Pytorch模型训练实用教程》中配套代码

Deep-Learning-with-PyTorch-Chinese

本仓库将PyTorch官方书籍《Deep learning with PyTorch》（基本摘录版）翻译成中文版并给出可运行的相关代码。

python_paint_api

简单易懂的画图接口（含丰富的注释）

Transfer_Learning_Bearing_Fault

Transfer-Learning-for-CWRU-dataset

A experiement demonstration of different deep transfer learning methods for course VE593

Fault-Diagnosis

Fault Diagnosis Method

meta-pseudo-labels

Unofficial TF2 implementation of "Meta Pseudo Labels" with linked metrics, dataset and models