CasADi is a symbolic framework for numeric optimization implementing automatic differentiation in forward and reverse modes on sparse matrix-valued computational graphs. It supports self-contained C-code generation and interfaces state-of-the-art codes such as SUNDIALS, IPOPT etc. It can be used from C++, Python or Matlab/Octave.

🔍 Simulate quantum entanglement using C++ with grids and random particles, offering an engaging way to explore this fundamental concept.

🚀 Execute transactions and manage blockchain state efficiently with Monad's custom EVM and advanced parallel scheduling.

OrangeC Compiler And Tool Chain

NPUEval is an LLM evaluation dataset written specifically to target AIE kernel code generation on RyzenAI hardware.

Complete rewrite and suite overhaul to the previous strip-packing-cpp repository

Linearity-exploiting reverse mode autodiff library, interior-point method, and NLP solver DSL for C++23 and Python.

Mesh optimization library that makes meshes smaller and faster to render

An optimized Tensor/Matrix library for HPC applications an numerical relativity (AVX2/AVX512 and thread safe) with a Symbolic parser and Python wrapper

Google's Operations Research tools:

A highly customizable SQP & barrier solver for nonlinearly constrained optimization

Vehicle Routing Open-source Optimization Machine

Efficient Task Space Inverse Dynamics (TSID) based on Pinocchio

LichtFeld Studio: Where reality and the digital world blend.

GAMS Studio

Stochastic optimization model for hidrothermal scheduling problems.

A C++ porting of Frank E. Curtis's penalty-interior-point algorithm for nonlinear constrained optimization

On-device Neural Engine

OpenMP Parallel Implementation of Horn-Schunck Optical Flow Algorithm to identify motion between two frames

A modernized ART for Illumina read simulation.