SOFARPC is a high-performance, high-extensibility, production-level Java RPC framework.

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

A RPC service development framework.（RPC服务框架XXL-RPC）

A Tutorial on Manipulator Differential Kinematics

Quantization library for PyTorch. Support low-precision and mixed-precision quantization, with hardware implementation through TVM.

ADAHESSIAN: An Adaptive Second Order Optimizer for Machine Learning

Code and weights for local feature affine shape estimation paper "Repeatability Is Not Enough: Learning Discriminative Affine Regions via Discriminability"

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)

A lightweight, high throughput, and low latency RPC framework that supports the RDMA protocol

⚡️ Nepxion Thunder is a distribution RPC framework based on Netty + Hessian + Kafka + ActiveMQ + Tibco + Zookeeper + Redis + Spring Web MVC + Spring Boot + Docker 多协议、多组件、多序列化的分布式RPC调用框架

{KFAC,EKFAC,Diagonal,Implicit} Fisher Matrices and finite width NTKs in PyTorch

js hessian binary web service protocol, support communicate with java

A high-performance, open-source java RPC framework.

An internal improved version of Hessian3/4 powered by Ant Group CO., Ltd.

A local reactive cache for Java and Android. Now, it supports heap memory、off-heap memory and disk cache.

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

Easy-to-use AdaHessian optimizer (PyTorch)