riemann85

ActuarialDataScience

Code for the Actuarial Data Science Tutorials published at https://actuarialdatascience.org.

AIX360

Interpretability and explainability of data and machine learning models

BayesianML

PyMCon 2020 talk

bert-relation-extraction

best-of-ml-python

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

boruta_py

Python implementations of the Boruta all-relevant feature selection method.

bsts-stan

Naive implementations of Bayesian Structural Time Series models in Stan.

Coursera

Quiz & Assignment of Coursera

credit_risk_contagion

Deep-Learning-with-Google-Colab

GitHub repository for the Deep Learning with Google Colab online course, published by BPB Publications

deep_learning_for_structured_data

Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-structured-data

deequ

Deequ is a library built on top of Apache Spark for defining "unit tests for data", which measure data quality in large datasets.

dirty_cat

Encoding methods for dirty categorical variables

EMJMCMC2016

Bayesian model configuration, selection and averaging in complex regression contexts

facet

Human-explainable AI.

gluon-ts

Probabilistic time series modeling in Python

insurance

Collection of machine learning applied to french motor claims data

interpret

Fit interpretable models. Explain blackbox machine learning.

KERMIT

🐸 KERMIT - A lightweight library to encode and interpret Universal Syntactic Embeddings

kubeflow-examples

Examples for Kubeflow and Kubeflow pipelines

Legal-Text-Analytics

A list of selected resources, methods, and tools dedicated to Legal Text Analytics.

losspredictor

Mixture-Density-Networks-for-distribution-and-uncertainty-estimation

A generic Mixture Density Networks (MDN) implementation for distribution and uncertainty estimation by using Keras (TensorFlow)

mmm_stan

Python/STAN Implementation of Multiplicative Marketing Mix Model

particles

Sequential Monte Carlo in python

predictor_stacker

Linear Predictor Stacker aims at optimizing predictor's weights against a ML metric

pystacknet

sent2vec

General purpose unsupervised sentence representations

sktime

A unified framework for machine learning with time series

target-likelihood-encoding

Generate target statistics