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RBDL is a C++ library that contains some essential and efficient rigid body dynamics algorithms such as the Articulated Body Algorithm (ABA) for forward dynamics, Recursive Newton-Euler Algorithm (RNEA) for inverse dynamics, the Composite Rigid Body Algorithm (CRBA) for the efficient computation of the joint space inertia matrix and is also able to compute forward dynamics with external contact constraints and collision impulses. Furthermore it has some basic support for forward and inverse kinematics.

  • articulated-body-algorithm
  • inverse-dynamics
  • forward-dynamics
  • multi-body-dynamics

TokuMX is a high-performance, concurrent, compressing, drop-in replacement engine for MongoDB | Issue tracker: https://tokutek.atlassian.net/browse/MX/ |

The Point Processing Toolkit (pptk) is a Python package for visualizing and processing 2-d/3-d point clouds.

An implementation of Actor, Publish-Subscribe, and CSP models in one rather small C++ framework. With performance, quality, and stability proved by years in the production.

  • cpp
  • cplusplus
  • cplusplus-17
  • actor-model

Native x86-64 Windows loader for Bloodborne (CUSA03173) with native CPU execution, Win32 runtime, and shadPS4-based Vulkan GPU rendering. Based on deadinside28's bbport. Bring your own game dump, no game files are included.

  • bloodborne
  • native
  • pc
  • port

Lightweight, super fast C/C++ (& Python) library for sequence alignment using edit (Levenshtein) distance.

  • sequence-alignment
  • edit-distance
  • levehnstein-distance
  • library

ESP8266 based mesh. This is a mirror copy of https://gitlab.com/painlessMesh/painlessMesh PLEASE ADD COMMENTS, ISSUES and PULL REQUESTS ON GITLAB so that all information is centralized.

A decompiled PC Port of Super Mario Galaxy, intended to work on Windows, Linux, MacOS, Android, and iOS/iPadOS.

An unordered C++ data container providing fast iteration/insertion/erasure while maintaining pointer/iterator validity to non-erased elements regardless of insertions/erasures. Provides higher-performance than std:: library containers for high-modification scenarios with unordered data.

Learning Multi-Domain Convolutional Neural Networks for Visual Tracking