There are 0 repository under second-order topic.
PyTorch implementation of Advantage Actor Critic (A2C), Proximal Policy Optimization (PPO), Scalable trust-region method for deep reinforcement learning using Kronecker-factored approximation (ACKTR) and Generative Adversarial Imitation Learning (GAIL).
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
VIP cheatsheets for Stanford's CME 102 Ordinary Differential Equations for Engineers
PyTorch code for "SOLAR: Second-Order Loss and Attention for Image Retrieval". In ECCV 2020
Easy-to-use AdaHessian optimizer (PyTorch)
[ACL 2019] Second-Order Semantic Dependency Parsing with End-to-End Neural Networks
Kalman Filter, Extended Kalman Filter, and Unscented Kalman Filter implementation in C++
code for blog post https://gebob19.github.io/natural-gradient/
The New Morris Method was proposed by Campolongo and Braddock [Reliab. Engng Syst. Saf. 64 (1999) 1] as an extension of the Morris Method [Technometrics 33 (1991) 161] to include estimation of two-factor interaction effects.
A small crate to help you interact with second order sequences, such as the Fibonacci sequence, with no_std support.
*In development* A cellular automata library