tun-lin

tun-lin's Stars

• hildensia/bayesian_changepoint_detection

  Methods to get the probability of a changepoint in a time series.

  Language:Jupyter Notebook686212

• tritemio/pycorrelate

  Fast and accurate cross-correlation over arbitrary time lags. Moved to:

  Language:Python2111

• rkillick/changepoint

  A place for the development version of the changepoint package on CRAN.

  Language:R12935

• alan-turing-institute/TCPD

  The Turing Change Point Dataset - A collection of time series for the evaluation and development of change point detection algorithms

  Language:Python13927

• alan-turing-institute/TCPDBench

  The Turing Change Point Detection Benchmark: An Extensive Benchmark Evaluation of Change Point Detection Algorithms on real-world data

  13428

• shunsukeaihara/changefinder

  Language:Python10125

• flennerhag/mlens

  ML-Ensemble – high performance ensemble learning

  Language:Python849109

• MLBazaar/MLBlocks

  A library for composing end-to-end tunable machine learning pipelines.

  Language:Python11635

• giladkatz/ExploreKit

  Language:Java7434

• alteryx/evalml

  EvalML is an AutoML library written in python.

  Language:Python79487

• neuropsychology/NeuroKit

  NeuroKit2: The Python Toolbox for Neurophysiological Signal Processing

  Language:Python1.6k429

• SeldonIO/alibi-detect

  Algorithms for outlier, adversarial and drift detection

  Language:Jupyter Notebook2.3k225

• fairlearn/fairlearn

  A Python package to assess and improve fairness of machine learning models.

  Language:Python2k427

• evidentlyai/evidently

  Evidently is ​​an open-source ML and LLM observability framework. Evaluate, test, and monitor any AI-powered system or data pipeline. From tabular data to Gen AI. 100+ metrics.

  Language:Jupyter Notebook5.6k610

• great-expectations/great_expectations

  Always know what to expect from your data.

  Language:Python10.1k1.6k

• lukasmartinelli/pgfutter

  Import CSV and JSON into PostgreSQL the easy way

  Language:Go1.3k128

• wsargent/docker-cheat-sheet

  Docker Cheat Sheet

  22.2k4.6k

• ml-tooling/best-of-python

  🏆 A ranked list of awesome Python open-source libraries and tools. Updated weekly.

  3.7k263

• ml-tooling/best-of-web-python

  🏆 A ranked list of awesome python libraries for web development. Updated weekly.

  2.4k178

• arviz-devs/arviz

  Exploratory analysis of Bayesian models with Python

  Language:Python1.6k409

• py-why/dowhy

  DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.

  Language:Python7.2k935

• bashtage/arch

  ARCH models in Python

  Language:Python1.3k253

• eugeneyan/applied-ml

  📚 Papers & tech blogs by companies sharing their work on data science & machine learning in production.

  27.4k3.7k

• oegedijk/explainerdashboard

  Quickly build Explainable AI dashboards that show the inner workings of so-called "blackbox" machine learning models.

  Language:Python2.3k333

• Trusted-AI/AIX360

  Interpretability and explainability of data and machine learning models

  Language:Python1.6k310

• ml-tooling/best-of-ml-python

  🏆 A ranked list of awesome machine learning Python libraries. Updated weekly.

  18.4k2.6k

• petervanderdoes/gitflow-avh

  AVH Edition of the git extensions to provide high-level repository operations for Vincent Driessen's branching model

  Language:Shell5.4k527

• getsentry/self-hosted

  Sentry, feature-complete and packaged up for low-volume deployments and proofs-of-concept

  Language:Shell8k1.8k

• bnsreenu/python_for_image_processing_APEER

  https://www.youtube.com/playlist?list=PLHae9ggVvqPgyRQQOtENr6hK0m1UquGaG

  Language:Jupyter Notebook467280

• tobegit3hub/advisor

  Open-source implementation of Google Vizier for hyper parameters tuning

  Language:Jupyter Notebook1.6k259