thomann
* PostDoc in Machine Learning, * PhD in Probability Theory * Managing Consultant in Data Science
D ONE
Pinned Repositories
NLPeasy
Easy Peasy Language Squeezy
liquidSVM
Support vector machines (SVMs) and related kernel-based learning algorithms are a well-known class of machine learning algorithms, for non-parametric classification and regression. liquidSVM is an implementation of SVMs whose key features are: fully integrated hyper-parameter selection, extreme speed on both small and large data sets, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.
cdt-builds
conda-forge cdt builds
nabu
A vocabulary drill tool
plotAR
Walk Through your Data in AR or VR
PlotAR-ios
Walk through your data
plotVR-android
plotVR - Walk Through your Data in Cardboard VR on android
r-rmarkdown-feedstock
A conda-smithy repository for r-rmarkdown.
thomann's Repositories
thomann/plotAR
Walk Through your Data in AR or VR
thomann/nabu
A vocabulary drill tool
thomann/cdt-builds
conda-forge cdt builds
thomann/PlotAR-ios
Walk through your data
thomann/plotVR-android
plotVR - Walk Through your Data in Cardboard VR on android
thomann/r-rmarkdown-feedstock
A conda-smithy repository for r-rmarkdown.
thomann/thomann.github.io