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advanced-forecasting-python

Source Code for 'Advanced Forecasting with Python' by Joos Korstanje

advanced_hyperopt_fopdt

aix360

Interpretability and explainability of data and machine learning models

alepython

Python Accumulated Local Effects package

anomalydetection

Twitter's Anomaly Detection in Pure Python

auton-survival

Auton Survival - an open source package for Regression, Counterfactual Estimation, Evaluation and Phenotyping with Censored Time-to-Events

awesome-conformal-prediction

A professionally curated list of awesome Conformal Prediction videos, tutorials, books, papers, PhD and MSc theses, articles and open-source libraries.

awesome-cybersecurity-datasets

A curated list of amazingly awesome Cybersecurity datasets

awesome-ml-for-cybersecurity

:octocat: Machine Learning for Cyber Security

awesome-time-series

A comprehensive survey on the time series domains

balance

The balance python package offers a simple workflow and methods for dealing with biased data samples when looking to infer from them to some target population of interest.

bayesian_bootstrap

bayesian bootstrapping in python

c5.-deep-survival-analysis-and-time-varying-covariates

concept_drift_handling

cusumcharter

Easier CUSUM control charts. Returns simple CUSUM statistics, CUSUMs with control limit calculations, and function to generate faceted CUSUM Control Charts

darts

A python library for user-friendly forecasting and anomaly detection on time series.

dash-120million-taxi-app

Explore 120 million taxi trips in real time with Dash and Vaex

dash-sample-apps

Open-source demos hosted on Dash Gallery

dash_widgets

This app is hosted on https://dash-widgets.herokuapp.com

deep-survival-analysis-and-time-varying-covariates

Dynamic DeepHit - a novel machine learning model to handle Time-Varying Covariates in the credit risk context

deep-time-series

Deep learning PyTorch library for time series forecasting

deep-ttf

Survival analsyis and time-to-failure predictive modeling using Weibull distributions and Recurrent Neural Networks in Keras

deep_learning_for_credit_scoring

This is an online companion of my code written within the score of of the publication on deep learning for time-to-event analysis in a credit scoring setting for the Journal of the Operational Research Society (JORS).

deepar

Tensorflow implementation of Amazon DeepAR

deephazard

DeepHazard: Neural Network for Time Varying Risks

deephitplus

Code for the Paper "Automatic Feature Selection for Survival Analysis with Deep Learning"

deepssm_sysid

Official PyTorch implementation of "Deep State Space Models for Nonlinear System Identification", 2020.

deepsurv

DeepSurv is a deep learning approach to survival analysis.

deepsurvivalmachines

deepsurvk

Implementation of DeepSurv using Keras