Fast multivariate imputation by random forests.

Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.

All about Neural Networks!

This repository contains a throughout explanation on how to create different deep learning models in Keras for multivariate (tabular) time series prediction.

Demo Weibull Time-to-event Recurrent Neural Network in Keras

Examples of implementations of WTTE-RNN

WTTE-RNN a framework for churn and time to event prediction

H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K…

Python compare methods of string matching

MIMIC Code Repository: Code shared by the research community for the MIMIC family of databases

AutoGBT is used for AutoML in a lifelong machine learning setting to classify large volume high cardinality data streams under concept-drift. AutoGBT was developed by a joint team ('autodidact.ai')…

Repository for Doctor AI project

YAD2K: Yet Another Darknet 2 Keras

Python Data Science Handbook: full text in Jupyter Notebooks

A curated list of awesome JupyterLab extensions and resources

A very simple framework for state-of-the-art Natural Language Processing (NLP)

a distributed Hyperband implementation on Steroids

Implementation of Bayesian Hyperparameter Optimization of Machine Learning Algorithms

Building Machine Learning Projects with TensorFlow by Packt

Minimal examples of data structures and algorithms in Python

Tidy data lesson using Lord of the Rings data.

Necessary codes and outputs for analyzing abundances in metagenomic data

SC17 tutorial - "HPC via HTTP: Portable, Scalable Computing using App Containers and the Agave API"

Official developer documentation of the Agave Platform

Simple Features for R

Structure and Interpretation of Computer Programs, 2nd Edition, by Harold Abelson and Gerald Jay Sussman with Julie Sussman, The MIT Press. formatted and built for mobi/kindle

A few exercises for use at events.

TensorFlow Tutorials with YouTube Videos

TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

R on Apache Spark (SparkR) tutorials for Big Data analysis and Machine Learning as IPython / Jupyter notebooks