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See what the GitHub community is most excited about this week.

  1. aymericdamien / TensorFlow-Examples

    TensorFlow tutorials and code examples for beginners

    Jupyter Notebook • 44 stars this week • Built by @aymericdamien @Inoryy @jfsantos @jskDr

  2. diefimov / MTH594_MachineLearning

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

    Jupyter Notebook • 42 stars this week • Built by @diefimov

  3. maciejjaskowski / deep-q-learning

    Jupyter Notebook • 36 stars this week • Built by @maciejjaskowski @drewgarrido @zhubert

  4. rasbt / python-machine-learning-book

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

    Jupyter Notebook • 33 stars this week • Built by @rasbt @MTietze @timmartin19

  5. rainyear / pytips

    Useful Python tips!

    Jupyter Notebook • 32 stars this week • Built by @rainyear

  6. pkmital / tensorflow_tutorials

    From the basics to slightly more interesting applications of Tensorflow

    Jupyter Notebook • 22 stars this week • Built by @pkmital @daviddao @branCodes

  7. 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.

    Jupyter Notebook • 17 stars this week • Built by @cfregly @BrentDorsey @retroryan @velvia @andypetrella

  8. quantopian / pyfolio

    Portfolio and risk analytics in Python

    Jupyter Notebook • 17 stars this week • Built by @twiecki @gusgordon @a-campbell @justinlent @humdings

  9. 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.

    Jupyter Notebook • 15 stars this week • Built by @rlabbe @Gluttton @kcamd @undefx @pquentin

  10. pymc-devs / pymc3

    Probabilistic Programming in Python. Uses Theano as a backend and includes the NUTS sampler.

    Jupyter Notebook • 14 stars this week • Built by @apatil @fonnesbeck @jsalvatier @twiecki @kyleam

  11. jupyter / docker-stacks

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

    Jupyter Notebook • 9 stars this week • Built by @parente @jakirkham @rgbkrk @minrk @jtyberg

  12. nivwusquorum / tensorflow-deepq

    A deep Q learning demonstration using Google Tensorflow

    Jupyter Notebook • 10 stars this week • Built by @nivwusquorum @iaroslav-git @snurkabill @BenderV @Russell91

  13. tmbdev / ocropy

    Python-based tools for document analysis and OCR

    Jupyter Notebook • 7 stars this week • Built by @tmbdev @adnanulhasan @danvk @overstable @zuphilip

  14. Russell91 / TensorBox

    Jupyter Notebook • 6 stars this week • Built by @Russell91 @kuprel

  15. BIDData / BIDMach

    CPU and GPU-accelerated Machine Learning Library

    Jupyter Notebook • 7 stars this week • Built by @jcanny @DanielTakeshi @chrishzhao @WillCh @ikuo

  16. tmbdev / clstm

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

    Jupyter Notebook • 6 stars this week • Built by @tmbdev @apbard @ryanfb @amitdo @mittagessen

  17. ebenolson / pydata2015

    Jupyter Notebook • 6 stars this week • Built by @ebenolson

  18. lmcinnes / hdbscan

    A high performance implementation of HDBSCAN clustering.

    Jupyter Notebook • 5 stars this week • Built by @lmcinnes @sastels @jc-healy @AllanLRH @zachwill

  19. rhiever / sklearn-benchmarks

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

    Jupyter Notebook • Built by @rhiever @AkshayVarik @harshnisar @gitter-badger @zairah10

  20. fonnesbeck / Bios8366

    Advanced Statistical Computing at Vanderbilt University's Department of Biostatistics

    Jupyter Notebook • Built by @fonnesbeck @gitter-badger @yoavram

  21. DaveBackus / Data_Bootcamp

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

    Jupyter Notebook • Built by @DaveBackus @spencerlyon2 @sebecketthile @cc7768 @pbackus

  22. ericmjl / Network-Analysis-Made-Simple

    For PyCon 2015

    Jupyter Notebook • Built by @ericmjl

  23. dlab-berkeley / python-for-everything

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

    Jupyter Notebook • Built by @deniederhut @davclark @juanshishido @andrewqchong @cindeem

  24. opencobra / cobrapy

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

    Jupyter Notebook • Built by @aebrahim @danielhyduke @zakandrewking @JuBra @pstjohn

  25. YuanhaoGong / CurvatureFilter

    Curvature Filters are efficient solvers for Variational Model

    Jupyter Notebook • Built by @YuanhaoGong @tanweihou

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