Build something great with our Open Source Products
We belive in the open source concept and are an active part of the open source community. Apart from joing conferences such as the JupyterCon and the EuroSciPy, we actively develop our own open source projects.
ipyannotator - the infinitely hackable annotation framework. Even though much less glamorous than developing new machine learning models, the annotation process and the required tooling is often one of the most critical aspects of real world Machine Learning projects.Checkout on GitHub
This repository allows you to use Factorization Machines in Python (2.7 & 3.x) with the well known scikit-learn API. All performance critical code has been written in C and wrapped with Cython. fastFM provides stochastic gradient descent (SGD) and coordinate descent (CD) optimization routines as well as Markov Chain Monte Carlo (MCMC) for Bayesian inference.Checkout on GitHub
Our Projects Custom Machine Learning
& Data Engineering Solutions
Transferring academic & industry machine learning research into powerful solutions requires a combination of deep technical understanding, state-of-the-art tools, and the right development approach.
Our ServicesWe facilitate your project
We support your Machine Learning project along the way. Be it Cloud Services, Compute Power, Data Annotation or your preconfigured Machine Learning Development Environment!
Statistical, mathematical modeling
That’s our DNA. What can we do for your project?
You infrequently want to run large-scale ML-experiments? We can help you quickly to scale compute ressources for your specific project.>> Learn more: Projekt Wildlife Categorization with TU Berlin
Data Handling & Visualization
You need to combine information from various sources? We collect data, extract information and generate interactive infografics, dashboards and maps.>> Discover: Interactive Map Corona-Live.de
Insufficient labeled data is the main bottleneck in many real world ML-projects. We help you to make more out of your data & to create new labels where appropriate.>> Discover: Our annotation framework ipyannotator
You want to allow more people to interact with your ML tasks? A preconfigured, browser-based Development Environment lowers the entry bar for all team members.>> Find out about our Service for IHK Suttgart
The research project with Palaimon on automatic road condition detection "ARC-D" addresses the complex topic of digitization of the road environment, which ideally complements our technology and innovation interests.
Palaimon supported us in our WorkCamp Machine Learning with a preconfigured Development Environment that made it easy for all participants to directly work on the course materials without having to install anything by themselves.