4 projects
inara
Display Helpers in Jupyter, VSCode, and Databricks Notebooks for JSON and XML data. This is like IPython.display.JSON but also works in VSCode and Databricks.
plotar
Walk through your data
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, inclusion of a variety of different classification and regression scenarios, and full flexibility for experts.
