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aymericdamien / TensorFlow-Examples

TensorFlow tutorials and code examples for beginners

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diefimov / MTH594_MachineLearning

The materials for the course MTH 594 Advanced data mining: theory and applications (Dmitry Efimov, American University of Sharjah)

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maciejjaskowski / deep-q-learning

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rasbt / python-machine-learning-book

The "Python Machine Learning" book code repository and info resource

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rainyear / pytips

Useful Python tips!

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pkmital / tensorflow_tutorials

From the basics to slightly more interesting applications of Tensorflow

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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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quantopian / pyfolio

Portfolio and risk analytics in Python

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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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jupyter / docker-stacks

Opinionated stacks of ready-to-run Jupyter applications in Docker.

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nivwusquorum / tensorflow-deepq

A deep Q learning demonstration using Google Tensorflow

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tmbdev / ocropy

Python-based tools for document analysis and OCR

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Russell91 / TensorBox

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BIDData / BIDMach

CPU and GPU-accelerated Machine Learning Library

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tmbdev / clstm

A small C++ implementation of LSTM networks, focused on OCR.

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ebenolson / pydata2015

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lmcinnes / hdbscan

A high performance implementation of HDBSCAN clustering.

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rhiever / sklearn-benchmarks

A centralized repository to report scikit-learn model performance across a variety of parameter settings and data sets.

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fonnesbeck / Bios8366

Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

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DaveBackus / Data_Bootcamp

Materials for a course at NYU Stern using Python to study economic and financial data.

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ericmjl / Network-Analysis-Made-Simple

For PyCon 2015

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dlab-berkeley / python-for-everything

Materials for teaching the Python for Everything workshop at UC Berkeley's D-lab

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opencobra / cobrapy

COBRApy is a package for constraint-based modeling of biological networks

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YuanhaoGong / CurvatureFilter

Curvature Filters are efficient solvers for Variational Model

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