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effectivetensorflow

TensorFlow tutorials and best practices.

elasticsearch-spark-recommender

Use Jupyter Notebooks to demonstrate how to build a Recommender with Apache Spark & Elasticsearch

endtoend---predictive-modeling-using-python

fastai

The fast.ai deep learning library, lessons, and tutorials

fastai_deeplearn_part1

Notes for Fastai Deep Learning Course - Part 1 v2

fasttext

Library for fast text representation and classification.

featuretools

automated feature engineering

fixed-length

Scala library for parsing fixed length file format

flask

The Python micro framework for building web applications.

forms_bot

bot which uses forms to do hotel and restaurant booking task

genetic-algorithm

Genetic algorithm tutorial for Python

github_practice

An example repo for practicing with GitHub

go

The Open Source Data Science Masters

hadron-collider-machine-learning

Materials for "Addressing Large Hadron Collider Challenges by Machine Learning" Coursera MOOC

hello-world

getting start to github

hierarchical-models

A Visual Introduction to Hierarchical Modeling

hybridnaivebayes

A generalized implementation of the Naive Bayes classifier in Python.

hyperas

Keras + Hyperopt: A very simple wrapper for convenient hyperparameter optimization

hyperopt

Distributed Asynchronous Hyperparameter Optimization in Python

imbalanced-learn

Python module to perform under sampling and over sampling with various techniques.

intro-to-dl

Resources for "Introduction to Deep Learning" course.

janitor

simple tools for data cleaning in R

jupyter-notify

A Jupyter Notebook magic for browser notifications of cell completion

jupyter_nbextensions_configurator

A jupyter notebook serverextension providing config interfaces for nbextensions.

kaggle-amazonchallenge2013

my public kaggle code

kmeans

k-means-visualization

latex-nonfiction-ebook-template

A LaTeX template for typesetting a professional print-on-demand nonfiction technical book, eBook (.epub, .mobi), and website

learntosolveit

Learn How to Solve a problem using your favorite programming language.

lectures

Oxford Deep NLP 2017 course

lstm-human-activity-recognition

Human activity recognition using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING).