245 Open source projects that are alternatives of or similar to relearn

Compile time counter that works with all major modern compilers

A header-only, unobtrusive, almighty alternative to the C++ switch statement that looks just like the original.

🐍 AI that learns to play Snake using Q-Learning (Reinforcement Learning)

Deep & Classical Reinforcement Learning + Machine Learning Examples in Python

The C++ parallel algorithms library.

Automating various decisions stochastically, starting with my current coin-based intermittent fasting and dice-based kettlebell.

Forex trading simulator environment for OpenAI Gym, observations contain the order status, performance and timeseries loaded from a CSV file containing rates and indicators. Work In Progress

The C++ Standard Library for your entire system.

Deep Reinforcement Learning Pong Agent, King Pong, he's the best

CS7641 - Machine Learning - Assignment 4 - Markov Decision Processes

Evoplex is a fast, robust and extensible platform for developing agent-based models and multi-agent systems on networks. It's available for Windows, Linux and macOS.

An Active Automata Learning Library Written in Python

macOS load bootup and optimization

Simple agent for sending HTTP and HTTPS traffic through HTTP and SOCKS proxies

Explorer is a PyTorch reinforcement learning framework for exploring new ideas.

This project is designed to make it possible to propagate SkyWalking context without changing user's code when using threadpool.

Loki.Rat is a fork of the Ares RAT, it integrates new modules, like recording , lockscreen , and locate options. Loki.Rat is a Python Remote Access Tool.

For deliberation and opinion visualization

AI framework for Reinforcement Learning, Automated Planning and Scheduling

JVM agent based metrics with Prometheus and Dropwizard support (Java, Scala, Clojure, Kotlin, etc)

An RL implementation in Keras

A ready to use http and https agent for working with proxies that keeps connections alive!

Application Metrics for Java™ instruments the Java runtime for performance monitoring, providing the monitoring data visually with its built in dashboard

System agent. Reports server status via HTTP API

Azure Container Agents Plugin for Jenkins

Reinforcement Learning in Vrep

基于rust语言开发的一套运维监控探针，支持widnows、linux、macos系统

make http(s) request to prevent SSRF

arxiv.org/abs/1803.07482

Agent Baker is aiming to provide a centralized, portable k8s agent node provisioning lib as well as rich support on different OS image with optimized k8s binaries.

MojangYggdrasil的更新! 以代理的方式提供伪正版与正版的实现

Zenit is a daemon collector for metrics and log parsers for any MySQL variant and ProxySQL

High frequency AI based algorithmic trading module.

Describes technical concepts of Dynatrace OneAgent SDK

Enables custom tracing of Java applications in Dynatrace

Paddle-RLBooks is a reinforcement learning code study guide based on pure PaddlePaddle.

Monero Light Wallet Server (scans monero viewkeys and implements mymonero API)

Nomad cloud plugin for Jenkins

This is a document on me at work, I recognise that the faster we get to know each other and how we work, the better and stronger our relationship will be, and the more we’ll accomplish together.

💥 Atomic Agent

Reinforcement Learning Demos

eXperDB-Management is a integrated management tool for PostgreSQL(for efficient operation and management).

GYM Environment for XPlane. Reinforcement Learning and Autonomous Piloting.

High-performance metaheuristics for optimization coded purely in Julia.

MPS is a high-performance HTTP(S) proxy library that supports forward proxies, reverse proxies, man-in-the-middle proxies, tunnel proxies, Websocket proxies. MPS 是一个高性能HTTP(s)中间代理库，它支持正向代理、反向代理、中间人代理、隧道代理、Websocket代理

Windows agent for Snipe-IT asset management system

BeeAPM is a distributed tracing system and APM ( Application Performance Monitoring )

Spatial Containers, Pareto Fronts, and Pareto Archives

A simple command line too and Python module to query and collect Java metrics via JMX

Extensible Combinatorial Optimization Learning Environments

Monte Carlo Tree Search (MCTS) is a method for finding optimal decisions in a given domain by taking random samples in the decision space and building a search tree accordingly. It has already had a profound impact on Artificial Intelligence (AI) approaches for domains that can be represented as trees of sequential decisions, particularly games …

A RESTful API using Poco C++ Libraries.

A Distributed Clojure agent for running remote functions

Package provides java implementation of reinforcement learning algorithms such Q-Learn, R-Learn, SARSA, Actor-Critic

Generative design workshop (Clojure/ClojureScript)

receive github hook, notify agent, receive task results, notify github

Gomoku Battle is a cross-language cross-system battle platform.

Store sensitive data such as API tokens

Unified notation for Markov Decision Processes PO(MDP)s

Animated interactive visualization of Value-Iteration and Q-Learning in a Stochastic GridWorld environment.