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A transfer learning fault diagnosis repository covering popular algorithms
Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习
proof of concept for a transformer-based time series prediction model
Enhancing the Locality and Breaking the Memory Bottleneck of Transformer on Time Series Forecasting (NeurIPS 2019)
examples for timeseries anomaly detection for course
Package for Time Series Forecasting and Anomaly Detection Problems.
A Python package for time series augmentation
Time Series Cross-Validation -- an extension for scikit-learn
An intuitive library to extract features from time series.
Automatic extraction of relevant features from time series:
A python library for time-series smoothing and outlier detection in a vectorized way.
Anomaly Detection for time series data
A python package for time series forecasting with scikit-learn estimators.
There are all my tutorials and presentations from Python or Data Science events
Free automated data enrichment library for machine learning → searches through thousands of ready-to-use features from public and community shared data sources
🆙 Upscayl - Free and Open Source AI Image Upscaler for Linux, MacOS and Windows built with Linux-First philosophy.
Learn how to build a class in python and use it to generate signals
We propose a VAE-LSTM model as an unsupervised learning approach for anomaly detection in time series.
Python package for stacking (machine learning technique)
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.
An example of turning VS code into an experiment tracking platform
An easy to use waterfall chart function for Python
some whylogs v1 profile visualizer examples to test, learn, and demo
:dart: Personal data science and machine learning toolbox
XGBoost Feature Interactions & Importance
XGBoost Feature Interactions Reshaped
An extension of XGBoost to probabilistic modelling and prediction
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.