XNNPACK is a highly optimized library of floating-point neural network inference operators for ARM, WebAssembly, and x86 platforms. XNNPACK is not intended for direct use by deep learning practitioners and researchers; instead it provides low-level performance primitives for accelerating high-level machine learning frameworks, such as TensorFlow Lite, TensorFlow.js, PyTorch, and MediaPipe.

The fmcsR package introduces an efficient maximum common substructure (MCS) algorithms combined with a novel matching strategy that allows for atom and/or bond mismatches in the substructures shared among two small molecules. The resulting flexible MCSs (FMCSs) are often larger than strict MCSs, resulting in the identification of more common features in their source structures, as well as a higher sensitivity in finding compounds with weak structural similarities. The fmcsR package provides several utilities to use the FMCS algorithm for pairwise compound comparisons, structure similarity searching and clustering.

OpenPACE implements Extended Access Control (EAC) version 2 as specified in BSI TR-03110. OpenPACE comprises support for the following protocols:

This is the GNU Go compiler, which compiles Go on platforms supported by the gcc compiler.

This is the GNU Go compiler, which compiles Go on platforms supported by the gcc compiler.

This is the GNU Go compiler, which compiles Go on platforms supported by the gcc compiler. It uses the gcc backend to generate optimized code.