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aequitas

Bias and Fairness Audit Toolkit

algebird

Abstract Algebra for Scala

bayesian-automl

Este es un experimento de un par de horas, probablemente de a poco le empiece a dar forma

deeplearning4j

Model import deployment framework for retraining models (pytorch, tensorflow,keras) deploying in JVM Micro service environments, mobile devices, iot, and Apache Spark

document_cluster

A guide to document clustering in Python

doom

DOOM Open Source Release

essential-sqlalchemy-2e

h2o

For the "Practical Machine Learning with H2O" book, to be published by O'Reilly (ISBN, etc. coming soon)

h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications: Deep Learning, Gradient Boosting & XGBoost, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), etc.

h2o-meetups

Presentations from H2O meetups & conferences by the H2O.ai team

handson-ml

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in python using Scikit-Learn and TensorFlow.

handson-ml2

A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.

interpretable_machine_learning_with_python

Practical techniques for training interpretable ML models, explaining ML models, and debugging ML models.

keras-rl

Deep Reinforcement Learning for Keras.

mastering-shiny

Mastering Shiny: a book

mli-resources

H2O.ai Machine Learning Interpretability Resources

net.jgp.labs.spark

Apache Spark examples exclusively in Java

numerical-python

Source code for 'Numerical Python' by Robert Johansson

onnx

Open standard for machine learning interoperability

optbinning

Optimal binning: monotonic binning with constraints. Support batch & stream optimal binning. Scorecard modelling and counterfactual explanations.

pandas_for_everyone

Repository to accompany "Pandas for Everyone"

python

Day-wise Python Learning resources from basic concepts to advanced Python applications such as data science and Machine learning. It also includes cheat-sheets, references which are logged daily to accelerate your learning.

pythondatasciencehandbook

Python Data Science Handbook: full text in Jupyter Notebooks

reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

scorecard

a bunch of credit scorecards with different datasets

sparkling-water

Sparkling Water provides H2O functionality inside Spark cluster

test

thinkbayes

Code repository for Think Bayes.

wolf3d

The original open source release of Wolfenstein 3D