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Tags: Science and math
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1–24 of 48 · Most stars

Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

Qiskit is an open-source SDK for working with quantum computers at the level of extended quantum circuits, operators, and primitives.

A Python framework for GPU-accelerated simulation, robotics, and machine learning.

  • differentiable-programming
  • python
  • gpu-acceleration
  • nvidia

A large scale non-linear optimization library

  • c-plus-plus
  • numerical-optimization
  • nonlinear-optimization-algorithms
  • nonlinear-programming

Infrastructure for evolutionary AI systems. GPU-accelerated, PyTorch-based optimization with an ecosystem of algorithm libraries, benchmarks, and tools.

  • evolutionary-algorithms
  • neuroevolution
  • gpu-acceleration
  • multi-objective-optimization

a programming library with geometric algorithms

  • graphics-libraries
  • graphics-programming
  • mesh-generation
  • mesh-processing

An object-oriented algebraic modeling language in Python for structured optimization problems.

  • python
  • optimization
  • linear-programming
  • mathematical-programming

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, Matlab/Octave, Julia or Javascript