Category: Data Science

deepnn.science

deepnn.science

It has been a while since my last endeavor to create a community with communications flowing in both directions. I believe it is particularly important right now – at a time when the information exchange market is dominated by just a few big players – to belong to and create […]

deep-piping – IoC/DI (not only) for Deep Learning

deep-piping – IoC/DI (not only) for Deep Learning

Paraphrasing Wikipedia – in traditional programming, the custom code that expresses the purpose of the program calls into reusable libraries to take care of generic tasks. In IoC, custom-written portions of a computer program receive the flow of control from a generic framework. In the context of Deep Learning (DL) […]

Workbench Advanced

Workbench Advanced

Today, I am really excited to announce the public release of Workbench Advanced (WBA). WBA is an addition or replacement of the Workbench web applications coming bundled with the Arvados environment and offers multiple advantages over its vanilla counterparts, notably: Speed: At every stage of the development, performance was in […]

NamedCollection – a Python container for Data Science

NamedCollection – a Python container for Data Science

NamedCollection is a versatile container for Python mixing semantics of list, dictionary and NumPy array/Pandas dataframe in order to provide maximum flexibility for grouping and dispatching common work to selected subsets of variables. Usage example: Alternative construction: Yet another alternative construction: For download please head to GitHub: https://github.com/sadaszewski/named_collection