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intro2stats

Introduction to Statistics using Python

ipapi

An R package to geolocate IPv4/6 addresses and/or domain names using ip-api.com's API

ipython-minibook

Code examples from the IPython minibook, Packt Publishing, by C. Rossant

islr-python

An Introduction to Statistical Learning (James, Witten, Hastie, Tibshirani, 2013) : Python code

itorch

IPython kernel for Torch with visualization and plotting

ivalice

Boosting and ensemble learning in Python.

jax

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

jetpack

Get up and running w/ machine learning using Docker

jsm2016slides

Links to slides for talks at the 2016 Joint Statistical Meetings in Chicago

jupyter-themes

Custom Jupyter Notebook Themes

kaggle

Additional files for the Otto Group Challenge hosted by Kaggle

kaggle-2014-criteo

kaggle-blackbox

Deep learning made easy

kaggle-winton-2016

Sample Solution(s) to the Winton Stock Market Challenge on Kaggle

kalman-and-bayesian-filters-in-python

Kalman Filter textbook using Ipython Notebook. This book takes a minimally mathematical approach, focusing on building intuition and experience, not formal proofs. Includes Kalman filters, Extended Kalman filters, unscented filters, and more. Includes exercises with solutions.

keras

Theano-based Deep Learning library

keras-rl

Deep Reinforcement Learning for Keras.

lakhnes

Generate 8-bit chiptunes with deep learning

ldavis

learning-to-learn

Learning to Learn in TensorFlow

learning_to_execute

Learning to Execute

lectures

Oxford Deep NLP 2017 course

libffm

libgit2

The Library

lightfm

A Python implementation of LightFM, a hybrid recommendation algorithm.

lightning

Large-scale linear classification and regression in Python/Cython.

list_of_recommender_systems

A List of Recommender Systems and Resources

littleinferencebook

A book for the coursera statistical inference class

llr

Lisp like R

lowliner

A FP package for R in the spirit of underscore.js