Important Git Hub Links for ML
- https://github.com/EthicalML/awesome-production-machine-learning
- https://github.com/chaoyanghe/Awesome-Federated-Learning
- https://github.com/pytorch/opacus
- https://github.com/tensorflow/privacy
- https://medium.com/learningdatascience/anomaly-detection-techniques-in-python-50f650c75aaf
- https://github.com/linkedin/luminol(Anamoly Detection in time series)
- https://github.com/twitter/AnomalyDetection
- https://github.com/cattystats/Anomaly_Detection
- https://github.com/target/matrixprofile-ts
- https://escholarship.org/content/qt2x4419fp/qt2x4419fp_noSplash_63b12fd93e27078e9e7c61b5825dbae9.pdf
- https://pycaret.org/remove-outliers/
- https://github.com/numenta/NAB(Anamoly detection streaming data)
- https://towardsdatascience.com/auto-sklearn-scikit-learn-on-steroids-42abd4680e94
- https://trainindata.medium.com/feature-engine-a-new-open-source-python-package-for-feature-engineering-29a0ab88ea7c
- https://www.analyticsvidhya.com/blog/2016/01/guide-data-exploration/?utm_source=outlierdetectionpyod&utm_medium=blog
- https://github.com/rsteca/sklearn-deap
- https://arxiv.org/pdf/2107.00079.pdf (Anti patterns data leakage)
- https://paperswithcode.com/