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rainyear / pytips
Useful Python tips!
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aymericdamien / TensorFlow-Examples
TensorFlow tutorials and code examples for beginners
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quantopian / pyfolio
Portfolio and risk analytics in Python
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fluxcapacitor / pipeline
End-to-End, Real-time, Advanced Analytics Big Data Reference Pipeline using Spark, Spark SQL, Spark ML, GraphX, Spark Streaming, Kafka, NiFi, Cassandra, ElasticSearch, Redis, Tachyon, HDFS, Zeppelin, iPython/Jupyter Notebook, Tableau, Twitter Algebird. See https://github.com/fluxcapacitor/pipeline/wiki for Setup Instructions.
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ipython-books / cookbook-code
Recipes of the IPython Cookbook, the definitive guide to high-performance scientific computing and data science in Python
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nivwusquorum / tensorflow-deepq
A deep Q learning demonstration using Google Tensorflow
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biocore / American-Gut
American Gut open-access data and IPython notebooks
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Lab41 / hermes
Recommender System Framework
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tmbdev / ocropy
Python-based tools for document analysis and OCR
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akrherz / iem
Code that makes the Iowa Environmental Mesonet run, or run into the ground.
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h2oai / h2o-tutorials
Tutorials and training material
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CamDavidsonPilon / Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
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fivethirtyeight / data
Data and code behind the stories and interactives at FiveThirtyEight
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rhiever / Data-Analysis-and-Machine-Learning-Projects
Repository of teaching materials, code, and data for my data analysis and machine learning projects.
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karpathy / neuraltalk2
Efficient Image Captioning code in Torch, runs on GPU
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pkmital / tensorflow_tutorials
From the basics to slightly more interesting applications of Tensorflow
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rasbt / pattern_classification
A collection of tutorials and examples for solving and understanding machine learning and pattern classification tasks
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rasbt / python_reference
Useful functions, tutorials, and other Python-related things
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rlabbe / Kalman-and-Bayesian-Filters-in-Python
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
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pymc-devs / pymc3
Probabilistic Programming in Python. Uses Theano as a backend and includes the NUTS sampler.
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jrjohansson / scientific-python-lectures
Lectures on scientific computing with python, as IPython notebooks.
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jakevdp / mpld3
D3 Renderings of Matplotlib Graphics
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ogrisel / parallel_ml_tutorial
Tutorial on scikit-learn and IPython for parallel machine learning
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coodict / python3-in-one-pic
Learn python3 in one picture.
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rasbt / python-machine-learning-book
The "Python Machine Learning" book code repository and info resource