Nestopia 1.48 1.fc27	4218574	Unspecified	A portable open source NES/Famicom emulator
  Nestopia is a portable open source NES/Famicom emulator written in C++. It's
  designed to be as accurate as possible and supports a large number of
  peripherals. The hardware is emulated at cycle-by-cycle granularity, ensuring
  full support for software that do mid-scanline and other timing trickery.
ndiswrapper 1.61 3.fc27	82966	System Environment/Kernel	Ndiswrapper wraps around Windows WLAN drivers within Linux
  The ndiswrapper project makes it possible to use WLAN-Hardware
  with Linux by means of a loadable kernel module that "wraps
  around" NDIS (Windows network driver API) drivers.  These rpms contain
  just the kernel module and loader. You will also need the Windows driver
  for your card.
  
  WARNING: Fedora-Kernels use 4K size stack. Many Windows drivers
  will need at least 8K size stacks. For details read the wiki on:
  http://ndiswrapper.sourceforge.net
normalize 0.7.7 14.fc27	154044	Applications/Multimedia	Tool for adjusting the volume of audio files to a standard level
  normalize is a tool for adjusting the volume of audio files to a
  standard level. This is useful for things like creating mixed CDs
  and mp3 collections, where different recording levels on different
  albums can cause the volume to vary greatly from song to song.
npapi-vlc 2.2.0 0.2.fc26	134108	Applications/Internet	NPAPI plugin for libvlc
  NPAPI plugin for libvlc.
npapi-vlc-filesystem 2.2.0 0.2.fc26	21648	Applications/Internet	NPAPI plugin for libvlc - filesystem
  NPAPI plugin for libvlc - filesystem
npapi-vlc-gtk 2.2.0 0.2.fc26	147048	Applications/Internet	NPAPI plugin for libvlc - gtk version
  NPAPI plugin for libvlc - gtk version.
nvenc-devel 8.0.14 2.fc27	4319596	Unspecified	Header for nvEncode API
  The NVIDIA Encoder (NVENC) API enables software developers to access the
  high-performance hardware H.264 and HEVC (H.265) video encoder in Kepler and
  Maxwell class NVIDIA GPUs. NVENC provides high-quality video encoding that is
  faster and more power efficient in comparison to equivalent CUDA-based or
  CPU-based encoders. By using dedicated hardware for the video encoding task, the
  GPU CUDA cores and/or the CPU are available for other compute-intensive tasks.
  NVENC on GeForce hardware can support a maximum of 2 concurrent streams per
  system. NVENC for GRID, Tesla and certain Quadro GPUs (see below) can support as
  many streams as possible up to maximum NVENC encoder rate limit and available
  video memory.