add some impl stuff

src/implementation.tex

@@ -1 +1,16 @@
 \section{Implementation}\label{sec:implementation}
+
+\subsection{Dagster with Label-Studio}
+
+The main goal is to implement an active learning loop with the help of Dagster and Label-Studio.
+The task was split as much as possible...
+
+\subsection{Jupyter}
+
+To get accurate performance measures the active-learning process was implemented in a Jupyter notebook first.
+This helps to choose which of the methods performs the best and which one to use in the final Dagster pipeline.
+A straight forward machine-learning pipeline was implemented with the help of Pytorch and RESNet.
+
+\begin{lstlisting}
+# todo listing of the sample selection process
+\end{lstlisting}

src/main.tex

@@ -8,6 +8,7 @@
 \usepackage{amsmath}
 \usepackage{mathtools}
 \usepackage{hyperref}
+\usepackage{listings}
 
 \usepackage[inline]{enumitem}
 

src/materialandmethods.tex

@@ -3,6 +3,10 @@
 \subsection{Material}\label{subsec:material}
 
 \subsubsection{Dagster}
+Dagster is a data orchestrator for machine learning, analytics, and ETL workflows.
+It lets you define pipelines in terms of the data flow between reusable, logical components.
+Dagster is a tool that helps to build scalable and reliable data workflows.
+
 \subsubsection{Label-Studio}
 \subsubsection{Pytorch}
 \subsubsection{NVTec}