Science.md

Science

1. ipython
   IPython provides a rich architecture for interactive computing.
   Project Source: https://github.com/ipython/ipython
   Project Homepage: https://umn466vdzexd6zm5.julianrbryant.com/

2. nupic
   NuPIC is a library that provides the building blocks for online prediction and anomaly detection systems.
   Project Source: https://github.com/numenta/nupic
   Project Homepage: https://umn440e24b5tevr.julianrbryant.com/

3. sympy
   A Python library for symbolic mathematics.
   Project Source: https://github.com/sympy/sympy
   Project Homepage: https://umn42x0kuvvd6zm5.julianrbryant.com/en/index.html

4. scipy
   SciPy is open-source software for mathematics, science, and engineering.
   Project Source: https://github.com/scipy/scipy
   Project Homepage: https://umn42etpuvvd6zm5.julianrbryant.com/

5. SimpleCV
   SimpleCV is a framework for Open Source Machine Vision, using OpenCV and the Python programming language.
   Project Source: https://github.com/sightmachine/SimpleCV
   Project Homepage: https://umn9y2g2qpwx0emmv4.julianrbryant.com/

6. hebel
   Hebel is a library for deep learning with neural networks in Python using GPU acceleration with CUDA through PyCUDA.
   Project Source: https://github.com/hannes-brt/hebel
   Project Documentation: https://umn5pyt8gj25and6wkhd69h0br.julianrbryant.com/en/latest/

7. networkx
   NetworkX is a Python package for the creation, manipulation, and study of the structure, dynamics, and functions of complex networks.
   Project Source: https://github.com/networkx/networkx
   Project Homepage: https://umnc093zr1dxdbpgv78wpvjg1cf0.julianrbryant.com/

8. pybrain
   The Python Machine Learning Library.
   Project Source: https://github.com/pybrain/pybrain

9. ramp
   Rapid Machine Learning Prototyping in Python.
   Project Source: https://github.com/kvh/ramp
   Project Documentation: https://umncj2g2gj25and6wkhd69h0br.julianrbryant.com/en/latest/

10. DeepLearningTutorials
    Deep Learning Tutorial notes and code.
    project Source: https://github.com/lisa-lab/DeepLearningTutorials
    Project Documentation: https://umn22982qqnb84pgd7yg.julianrbryant.com/tutorial/

11. pylearn2
    Pylearn2 is a library designed to make machine learning research easy.
    Project Source: https://github.com/lisa-lab/pylearn2
    Project Documentation: https://umn22982qqnb84pgd7yg.julianrbryant.com/software/pylearn2/

12. blaze
    Blaze is NumPy and Pandas for Big Data.
    Project Source: https://github.com/ContinuumIO/blaze
    Project Homepage: https://umn13bq5x35r21x6rqxberhh.julianrbryant.com/

13. pymc
    PyMC is a python module for Bayesian statistical modeling and model fitting which focuses on advanced Markov chain Monte Carlo fitting algorithms.
    Project Source: https://github.com/pymc-devs/pymc/tree/master
    Project Documentation: https://umn7ex0kytmxeedmhk2zcphc7zg0m.julianrbryant.com/pymc/

14. nltk
    NLTK is a suite of open source Python modules, data sets and tutorials supporting research and development in Natural Language Processing.
    Project Source: https://github.com/nltk/nltk
    Project Homepage: https://umn0mtkzgjpapnu0h68f6wr.julianrbryant.com/

15. TextBlob
    TextBlob is a Python library for processing textual data. It provides a simple API for diving into common natural language processing (NLP) tasks such as part-of-speech tagging, noun phrase extraction, sentiment analysis, classification, translation, and more.
    Project Source: https://github.com/sloria/TextBlob
    Project Homepage: https://umn0xq9xp2tvp3pgrcbdgm0cf62f80k8.julianrbryant.com/en/dev/

16. statsmodels
    Statsmodels is a Python package that provides a complement to scipy for statistical computations including descriptive statistics and estimation and inference for statistical models.
    Project Source: https://github.com/statsmodels/statsmodels
    Project Documentation: https://umn0c01mryhxegnmhh6mzg2ekkg12ar.julianrbryant.com/devel/

17. pycrypto
    The Python Cryptography Toolkit.
    Project Source: https://github.com/dlitz/pycrypto
    Project Homepage: https://un5gmtkzgjyjmnv5hhuxm.julianrbryant.com/software/pycrypto/

18. biopython
    The Biopython Project is an international association of developers of freely available Python tools for computational molecular biology.
    Project Source: https://github.com/biopython/biopython
    Project Homepage: https://umn13dr2q6ua4emmv4.julianrbryant.com/wiki/Main_Page

19. simpleai
    simple artificial intelligence utilities.
    Project Source: https://github.com/simpleai-team/simpleai

20. emcee
    The Python ensemble sampling toolkit for affine-invariant MCMC.
    Project Source: https://github.com/dfm/emcee
    Project Homepage: https://umn56fagw8bx6y4k.julianrbryant.com/emcee/current/

21. simmetrica
    Lightweight framework for collecting and aggregating event metrics as timeseries data.
    Project Source: https://github.com/o/simmetrica

22. dedupe
    dedupe is a python library that uses machine learning to perform de-duplication and entity resolution quickly on structured data.
    Project Source: https://github.com/datamade/dedupe

23. bayesian-belief-networks
    Pythonic Bayesian Belief Network Package, supporting creation of and exact inference on Bayesian Belief Networks specified as pure python functions.
    Project Source: https://github.com/eBay/bayesian-belief-networks