thedatalass's Stars
tensorflow/tensorflow
An Open Source Machine Learning Framework for Everyone
norvig/pytudes
Python programs, usually short, of considerable difficulty, to perfect particular skills.
jupyter/jupyter
Jupyter metapackage for installation, docs and chat
marcotcr/lime
Lime: Explaining the predictions of any machine learning classifier
vega/altair
Declarative statistical visualization library for Python
amueller/introduction_to_ml_with_python
Notebooks and code for the book "Introduction to Machine Learning with Python"
rasbt/python_reference
Useful functions, tutorials, and other Python-related things
neo4j-contrib/neo4j-apoc-procedures
Awesome Procedures On Cypher for Neo4j - codenamed "apoc" If you like it, please ★ above ⇧
andersbll/deeppy
Deep learning in Python
Jefferson-Henrique/GetOldTweets-python
A project written in Python to get old tweets, it bypass some limitations of Twitter Official API.
yhat/pandasql
sqldf for pandas
ipython-books/cookbook-code
[DEPRECATED] See the new edition:
johnmyleswhite/BanditsBook
Code for my book on Multi-Armed Bandit Algorithms
RevolutionAnalytics/RHadoop
RHadoop
GraphAlchemist/Alchemy
astrofrog/mpl-scatter-density
:zap: Fast scatter density plots for Matplotlib :zap:
scikit-image/skimage-tutorials
skimage-tutorials: a collection of tutorials for the scikit-image package.
DotNet4Neo4j/Neo4jClient
.NET client binding for Neo4j
vega/polestar
Lightweight Tableau-style interface for visual analysis, built on Vega-lite.
iansrobinson/graph-databases-use-cases
Example use cases from the O'Reilly Graph Databases book
yy/dviz-course
Data visualization course material
thomasnield/oreilly_reactive_python_for_data
Resources for the O'Reilly online video "Reactive Python for Data"
floydhub/tensorflow-notebooks-examples
Tensorflow Notebook Examples and Tutorials
ioam/jupytercon2017-holoviews-tutorial
HoloViews+Bokeh tutorial for JupyterCon 2017
mjfoster83/d3-workshop
Data visualization and mapping using D3js.
neo4j-examples/health-graph
Graph of health and pharm data.
amueller/jupytercon2017
Material for Data analysis and machine learning in Jupyter
neo4j-examples/conf-graph
The conference graph!
apalbright/senate-votes-viz
Generating visuals to show votes in Senate on Obamacare
TarunPathak/Eye
Python code that uses machine learning (neural networks) and computer vision to classify images based on identified features. The classification is stored within the image file (as tags). This allows to search images based on features (e.g. searching for ‘cat’ will return images with cat). The program uses Keras with TensorFlow.