A library for differentiable nonlinear optimization
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Updated
Jan 15, 2024 - Python
A library for differentiable nonlinear optimization
[CVPR 2022 Oral, Best Student Paper] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
Extended Kalman filter for training neural-networks
[TPAMI 2024] EPro-PnP: Generalized End-to-End Probabilistic Perspective-n-Points for Monocular Object Pose Estimation
numerical optimization in pytorch
A Unified Pytorch Optimizer for Numerical Optimization
Art of finding minimum. Python implementations from scratch.
Second-order iterated smoothing algorithms for state estimation
Methods to correct effect of peak shifting in curve fitting problem.
Just some optimization algorithms with raw python
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