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)

The Pytorch code of "Distribution Consistency based Covariance Metric Networks for Few-shot Learning", AAAI 2019.

[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++

Stochastic gradient descent with model building

Code for Statistically-motivated Second-order Pooling, ECCV2018

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.

code for blog post https://gebob19.github.io/natural-gradient/

A small crate to help you interact with second order sequences, such as the Fibonacci sequence, with no_std support.

MIRROR of https://codeberg.org/catseye/Wagon : A second-order concatenative language

Calculation of passive second order low pass filter (LPF)

*In development* A cellular automata library