torchimize

Name	torchimize JSON
Version	0.0.16 JSON
	download
home_page	http://github.com/hahnec/torchimize
Summary	Optimization Algorithms using Pytorch
upload_time	2024-01-04 16:48:04
maintainer
docs_url	None
author	Christopher Hahne
requires_python
license	GNU GPL V3.0
keywords	pytorch torch optimization mathematical linear programming gauss newton levenberg marquardt
VCS
bugtrack_url
requirements	No requirements were recorded.
Travis-CI	No Travis.
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            torchimize contains implementations of the Gradient Descent, Gauss-Newton and Levenberg-Marquardt optimization algorithms using the PyTorch library. The main motivation for this project is to enable convex optimization on GPUs based on the torch.Tensor class, which (as of 2022) is widely used in the deep learning field. This package features the capability to minimize several least-squares optimization problems at each loop iteration in parallel.



            

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