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4 search results found

Pytorch Minimize ⭐ 195

Newton and Quasi-Newton optimization with PyTorch

A next-generation solver for nonlinearly constrained nonconvex optimization. Modular and lightweight, it unifies iterative methods (SQP vs interior points) and globalization techniques (filter method vs merit function, line search vs trust region method) in a single framework. Competitive against IPOPT, filterSQP, SNOPT, MINOS and CONOPT

Hessianlearn ⭐ 24

Hessian based stochastic optimization in TensorFlow and keras

Msai Optimization ⭐ 8

Optimization course for MSAI at MIPT

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