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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