Morten Hjorth-Jensen
150 lines
5.7 KiB
TeX
150 lines
5.7 KiB
TeX
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%% Automatically generated file from DocOnce source
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%% doconce format latex Project1.do.txt --print_latex_style=trac --latex_admon=paragraph
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%-------------------- begin preamble ----------------------
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%-------------------- end preamble ----------------------
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\begin{document}
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% matching end for #ifdef PREAMBLE
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\newcommand{\exercisesection}[1]{\subsection*{#1}}
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% ------------------- main content ----------------------
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\subsection*{Format for electronic delivery of report and programs}
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The preferred format for the report is a PDF file. You can also use DOC or postscript formats or as an ipython notebook file. As programming language we prefer that you choose between C/C++, Fortran2008, Julia or Python. The following prescription should be followed when preparing the report:
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\begin{itemize}
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\item Use Canvas to hand in your projects, log in at \href{{https://www.uio.no/english/services/it/education/canvas/}}{\nolinkurl{https://www.uio.no/english/services/it/education/canvas/}} with your normal UiO username and password.
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\item Upload \textbf{only} the report file or the link to your GitHub/GitLab or similar typo of repos! For the source code file(s) you have developed please provide us with your link to your GitHub/GitLab or similar domain. The report file should include all of your discussions and a list of the codes you have developed. Do not include library files which are available at the course homepage, unless you have made specific changes to them.
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\item In your GitHub/GitLab or similar repository, please include a folder which contains selected results. These can be in the form of output from your code for a selected set of runs and input parameters.
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\end{itemize}
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\noindent
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Finally,
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we encourage you to collaborate. Optimal working groups consist of
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2-3 students. You can then hand in a common report.
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\subsection*{Software and needed installations}
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If you have Python installed (we recommend Python3) and you feel pretty familiar with installing different packages,
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we recommend that you install the following Python packages via \textbf{pip} as
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\begin{enumerate}
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\item pip install numpy scipy matplotlib ipython scikit-learn tensorflow sympy pandas pillow
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\end{enumerate}
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\noindent
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For Python3, replace \textbf{pip} with \textbf{pip3}.
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See below for a discussion of \textbf{tensorflow} and \textbf{scikit-learn}.
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For OSX users we recommend also, after having installed Xcode, to install \textbf{brew}. Brew allows
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for a seamless installation of additional software via for example
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\begin{enumerate}
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\item brew install python3
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\end{enumerate}
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\noindent
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For Linux users, with its variety of distributions like for example the widely popular Ubuntu distribution
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you can use \textbf{pip} as well and simply install Python as
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\begin{enumerate}
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\item sudo apt-get install python3 (or python for python2.7)
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\end{enumerate}
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\noindent
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etc etc.
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If you don't want to install various Python packages with their dependencies separately, we recommend two widely used distrubutions which set up all relevant dependencies for Python, namely
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\begin{enumerate}
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\item \href{{https://docs.anaconda.com/}}{Anaconda} Anaconda is an open source distribution of the Python and R programming languages for large-scale data processing, predictive analytics, and scientific computing, that aims to simplify package management and deployment. Package versions are managed by the package management system \textbf{conda}
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\item \href{{https://www.enthought.com/product/canopy/}}{Enthought canopy} is a Python distribution for scientific and analytic computing distribution and analysis environment, available for free and under a commercial license.
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\end{enumerate}
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\noindent
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Popular software packages written in Python for ML are
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\begin{itemize}
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\item \href{{http://scikit-learn.org/stable/}}{Scikit-learn},
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\item \href{{https://www.tensorflow.org/}}{Tensorflow},
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\item \href{{http://pytorch.org/}}{PyTorch} and
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\item \href{{https://keras.io/}}{Keras}.
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\end{itemize}
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\noindent
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These are all freely available at their respective GitHub sites. They
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encompass communities of developers in the thousands or more. And the number
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of code developers and contributors keeps increasing.
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% ------------------- end of main content ---------------
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\end{document}
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