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121–144 of 163 · Most stars

Qt5 suite that supports displaying and editing nodes in a graph-like flow. Similar to Unreal Kismet, Frostbite 3 Schematics or Allegorithmic Substance Designer UIs.

Native Windows PC port of God of War (PS2), built by statically recompiling MIPS R5900 code to C++ with PS2Recomp. Includes an installer launcher, one-click build, fan-translation support and a 60 fps target. No game files included: you need your own copy.

Native PC port of Super Smash Bros. Brawl (static recompilation): 4K, widescreen, gamepads, and Wii SD mods (Project+, Project+Ex, REX, Brawl Minus, Legacy XP). Bring your own disc.

Native PC port of Super Paper Mario (Wii) by static recompilation: 4K, cinematic widescreen, 120 fps, HQ music, HD textures, gamepad and pointer support. Bring your own disc.

A simple, cross-platform utility to classify packets into flows using only the essential 4-tuple.

Unofficial native PC port of God of War (2005, PS2) for Windows, with experimental Linux support. Statically recompiled to C++, not an emulator. OpenGL renderer, launcher, cheat menu, widescreen, 60 FPS. Bring your own game dump: no game files included.

Conker: Live & Reloaded (Xbox) on Windows & Linux: a native recompilation with a launcher that builds it from your own disc, widescreen up to 240 FPS, enhancements, and online play with room codes.

  • appimage
  • conker
  • linux
  • native-port

Resident Evil Outbreak native PC port: static recompilation of the PS2 game with online co-op (openSNAP), randomizer, cheats, controller support and 4K video settings.

  • capcom
  • cheats
  • co-op
  • decompilation

The Massively Parallel Quantum Chemistry program, MPQC, computes properties of atoms and molecules from first principles using the time independent Schrödinger equation.

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, full flexibility for experts, and inclusion of a variety of different learning scenarios: multi-class classification, ROC, and Neyman-Pearson learning, and least-squares, quantile, and expectile regression.