There are 1 repository under hessian 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).
Robotics Toolbox for Python
Jupiter是一款性能非常不错的, 轻量级的分布式服务框架
PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks
Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"
ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning
caucho hessian2 implementation in Go for [apache/dubbo-go](https://github.com/apache/dubbo-go) which is compatible with [dubbo-hessian-lite](https://github.com/apache/dubbo-hessian-lite)
js hessian binary web service protocol, support communicate with java
A local reactive cache for Java and Android. Now, it supports heap memory、off-heap memory and disk cache.
An internal improved version of Hessian3/4 powered by Ant Group CO., Ltd.
Easy-to-use AdaHessian optimizer (PyTorch)
This Repository contains Solutions to the Quizes & Lab Assignments of the Mathematics for Machine Learning Specialization offered by Imperial College of London on Coursera taught by David Dye, Samuel J. Cooper, A. Freddie Page, Marc Peter Deisenroth
PyTorch implementation of Hessian-Affine local feature detector
A performance improved version of Hessian powered by Ant Group.
Jax implementation of the AdaHessian optimizer
Algorithmic differentiation with hyper-dual numbers in C++ and Python
scipy linear operators for the Hessian, Fisher/GGN, and more in PyTorch
Full loss Hessian spectrum approximation tool.
Measuring generalization properties of graph neural networks
TensorFlow implementations of losses for sequence to sequence machine learning models
Implementation of Numerical Analysis algorithms/methods in Python