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Tags: Science and math
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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

Many studies have shown that the performance on deep learning is significantly affected by volume of training data. The MedicalNet project provides a series of 3D-ResNet pre-trained models and relative code.

PyPSA: Python for Power System Analysis

  • python
  • optimisation
  • energy-system
  • power-systems-analysis

Arbitrary-precision arithmetic library for PHP

  • php
  • arbitrary-precision
  • biginteger
  • bigdecimal