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).

Jupiter是一款性能非常不错的, 轻量级的分布式服务框架

Robotics Toolbox for Python

A high performance, distributed RPC framework.（分布式服务框架XXL-RPC）

PyHessian is a Pytorch library for second-order based analysis and training of Neural Networks

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)

⚡️ 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

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

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

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

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"

A Tutorial on Manipulator Differential Kinematics

js hessian binary web service protocol, support communicate with java

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

提供Java、Web、各种类库增强，尽量避免996 。目前已支持 feign, redis, datasource, shiro, httpclient, rest, codec, serialize, jersey, 多种ssh client 等

Lnk RPC是一款基于Netty实现RPC通讯协议，支持同步，异步和异步回调三种RPC调用方式，支持参数和返回值多态。支持多种负载均衡方式，支持调用流量控制，支持zookeeper和consul等服务注册发现方式，服务端口支持开发人员，运维人员配置以及动态分配，支持服务依赖关系梳理以及调用链路跟踪。支持spring配置。在服务端通过分组策略将来自不同组别的请求处理资源隔离，该思路借鉴与RocketMQ的实现思想。

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

Easy-to-use AdaHessian optimizer (PyTorch)