The "user" (developer) is expected to "leverage" these as resources and technical references in order to create their own custom implementation.

Vidyard also offers Enterprise level plans, which can include custom implementations and are optimized for heavy usage.

It includes a range of ready to use protocol implementations, as well as base classes that allow the creation of custom implementations.

The majority implementations of neural networks available are however custom implementations in various programming languages and on various platforms.

There are also many programming libraries that contain neural network functionality and that can be used in custom implementations.

It is also possible to use the I3 specifications in order to create a custom implementation.

In addition, it is also possible to use the IMC2 specifications in order to create a custom implementation.

Other projects also produce various custom implementations of the C++ standard library and the STL with various design goals.

SQLite 2.0 replaced gdbm with a custom B-tree implementation, adding support for transactions.

HeidiSQL was then rewritten to use a custom database-interface implementation rather than existing libraries.