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acrawleraday

awesome-d3

A list of D3 libraries, plugins and utilities

bayesian-modelling-in-python

A python tutorial on bayesian modeling techniques (PyMC3)

codility-lesson-solutions

Answers to Codility's online lesson tasks

cs100.1x

BerkeleyX CS100.1x "Introduction to Big Data with Apache Spark"

ctu13

data-science-from-scratch

code for Data Science From Scratch book

dataflowpythonsdk

Google Cloud Dataflow provides a simple, powerful model for building both batch and streaming parallel data processing pipelines.

deep-q-learning

deeplearningfornlpinpytorch

An IPython Notebook tutorial on deep learning for natural language processing, including structure prediction.

dmc_2017

docker-spark-hive-ipython

Spark + Jupyer + Hive

examples

flink

Mirror of Apache Flink

fnc-1

fnc-1-baseline

A baseline implementation for FNC-1

gym

A toolkit for developing and comparing reinforcement learning algorithms.

interakiv

interaktiv with gamers in the world

ipython

Official repository for IPython itself. Other repos in the IPython organization contain things like the website, documentation builds, etc.

keras

Deep Learning library for Python. Convnets, recurrent neural networks, and more. Runs on Theano or TensorFlow.

lectures

Oxford Deep NLP 2017 course

machinelearninginaction

Source Code for the book: Machine Learning in Action published by Manning

marginalbear

ml_for_hackers

Code accompanying the book "Machine Learning for Hackers"

mlalgorithms

Minimal and clean examples of machine learning algorithms

mooc-setup

Information for setting up for the BerkeleyX Spark Intro MOOC, and lab assignments for the course

mxnet-notebooks

Notebooks for MXNet

mychrwu

Learning by doing

myquerysqlite

write a class which provide some function to query SQLite DB

nano-python

Python 的迷你數據分析入門