Pinned Repositories
AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2020
analytics-zoo
Distributed Tensorflow, Keras and BigDL on Apache Spark
anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
article-matrix-profile-intro
This is a supporting repository for the journal article https://towardsdatascience.com/introduction-to-matrix-profiles-5568f3375d90.
Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
Basic-Rotating-Machine-Vibration-Analysis
These codes realize data transformation and simple data processing for fault diagnosis.
bhtsne
Barnes-Hut t-SNE
Code
Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
ly061907's Repositories
ly061907/Machine_Learning_Code_Implementation
Mathematical derivation and pure Python code implementation of machine learning algorithms.
ly061907/AI-Expert-Roadmap
Roadmap to becoming an Artificial Intelligence Expert in 2020
ly061907/anomaly-detection-resources
Anomaly detection related books, papers, videos, and toolboxes
ly061907/article-matrix-profile-intro
This is a supporting repository for the journal article https://towardsdatascience.com/introduction-to-matrix-profiles-5568f3375d90.
ly061907/Autoformer
About Code release for "Autoformer: Decomposition Transformers with Auto-Correlation for Long-Term Series Forecasting" (NeurIPS 2021), https://arxiv.org/abs/2106.13008
ly061907/awesome-chatgpt-prompts
This repo includes ChatGPT prompt curation to use ChatGPT better.
ly061907/Code
ly061907/d2l-en
An interactive deep learning book with code, math, and discussions, based on the NumPy interface.
ly061907/dash-predictive-maintenance
Dashboard designed to demonstrate the power of Machine Learning to predict failures (Remaining Useful Life (RUL)) in wind turbines. To predict the date when equipment will completely fail (RUL), XGBoost is used and achieved RMSE error is 0.033964 days, which is highly accurate.
ly061907/deep-learning-for-time-series-data
The examples showcase two ways of using deep learning for classifying time-series data, i.e. ECG data. The first way is using continuous wavelet transform and transfer learning, whereas the second way is using Wavelet Scattering and LSTMs. The explanations of the code are in Chinese. The used data set can be download on：https://github.com/mathworks/physionet_ECG_data/
ly061907/Design-motor-controllers-with-Simscape-Electrical
This repository contains MATLAB and Simulink files used in the "How to design motor controllers using Simscape Electrical" videos.
ly061907/fastai
The fastai deep learning library
ly061907/fastapi-ml-skeleton
FastAPI Skeleton App to serve machine learning models production-ready.
ly061907/fastbook
The fastai book, published as Jupyter Notebooks
ly061907/flow-forecast
Deep learning PyTorch library for time series forecasting, classification, and anomaly detection (originally for flood forecasting).
ly061907/HsuanTienLin_MachineLearning
ly061907/leeml-notes
李宏毅《机器学习》笔记，在线阅读地址：https://datawhalechina.github.io/leeml-notes
ly061907/MathWorks-Excellence-in-Innovation
Capstone and senior design projects for undergraduate and graduate students to gain practical experience and insight into technology trends and industry directions.
ly061907/matlab-with-python
Files demonstrating MATLAB and Python interoperability
ly061907/Metis
Metis is a learnware platform in the field of AIOps.
ly061907/nn-from-scratch
Implementing a Neural Network from Scratch
ly061907/playground
Play with neural networks!
ly061907/PowerToys
Windows system utilities to maximize productivity
ly061907/Production-Level-Deep-Learning
A guideline for building practical production-level deep learning systems to be deployed in real world applications.
ly061907/pydata-book
Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media
ly061907/pytorch-optimizer
torch-optimizer -- collection of optimizers for Pytorch
ly061907/TFC-pretraining
Self-supervised contrastive learning for time series via time-frequency consistency
ly061907/transferlearning
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
ly061907/wt-fdd
Wind Turbine Fault Detection. Newer version @ https://github.com/lkev/wtphm
ly061907/wtphm
SCADA data pre-processing library for prognostics, health management and fault detection of wind turbines. Successor to https://github.com/lkev/wt-fdd