807 Open source projects that are alternatives of or similar to Ramudroid

Telegram bot to delete user joined messages

Otto DIY+ ("Otto DIY with steroids" + Bluetooth + APP + switch + sensors + strength +...

URDF importer

基于botoy和OPQBot的色图机器人

R-GBD Person Tracking is a ROS framework for detecting and tracking people from a mobile robot.

🤖 A scalable multi-function group robot for QQ and Discord. 多功能、可扩展的群机器人，支持QQ和Discord。

茉莉QQ机器人（简称MQR），采用mirai的Android协议实现的QQ机器人服务，通过web控制机器人的启停和配置。

No description or website provided.

Everything you need to build a Swarmathon Robot.

提供强大的NLP能力, low-code实现chatbot

Simulink toolbox to rapidly prototype robot controllers

Webots projects (PROTO files, controllers, simulation worlds, etc.) contributed by the community.

Robot Vulnerability Database. An archive of robot vulnerabilities and bugs.

This code provides methods for robot-world, hand-eye(s) calibration, updated in June 2018..

A QQ bot bases on Mirai, Spring Boot, MySQL and Mybatis Plus.

Python backend exposing an API to control, configure and program CoderBot.

简明饭否机器人教程（使用 Python）

Sawyer-specific components for the Sawyer robot for use with the intera_sdk.

Sixi Robot Arm

基于树莓派的微信机器人

微信小游戏辅助合集（加减大师、包你懂我、大家来找茬腾讯版、头脑王者、好友画我、悦动音符、我最在行、星途WeGoing、猜画小歌、知乎答题王、腾讯中国象棋、跳一跳、题多多黄金版）

Minimal and Clean Reinforcement Learning Examples

A curated list of free and open source software and hardware to build and control a robot vacuum.

A car soccer environment inspired by Rocket League for deep reinforcement learning experiments in an adversarial self-play setting.

基于mirai-core api的lua快速开发框架。

Learning to Communicate with Deep Multi-Agent Reinforcement Learning in PyTorch

A course on Deep Reinforcement Learning in Computer Vision. Visit Website:

🖥️ CS446: Machine Learning in Spring 2018, University of Illinois at Urbana-Champaign

MABEL is a feature-packed, open-source, legged balancing robot based off of the Boston Dynamics Handle robot.

Reinforcement Learning and Decision Making tutorials explained at an intuitive level and with Jupyter Notebooks

Double Trouble in the Double Descent Curve with Optical Processing Units.

Trading Environment(OpenAI Gym) + DDQN (Keras-RL)

An elegant way of interacting with BearyChat webhooks.

Modularized Implementation of Deep RL Algorithms in PyTorch

Reinforcement Learning for Super Mario Bros using A3C on GPU

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).

Prestashop module. Handles a few SEO-related improvements, such as "hreflang", "canonical" and "noindex".

Code accompanying the blog post "Deep Reinforcement Learning with TensorFlow 2.1"

A Natural Language Date Time Parser that Extract date and time from text with context and parse to the required format

A ROS node that describes a quadruped robot using URDF

Courses on Deep Reinforcement Learning (DRL) and DRL papers for recommender systems

🤖Open source RPA for open organization

A curated list of awesome Deep Reinforcement Learning resources.

Code for my full size balancing/segway robot

Code for Hands On Intelligent Agents with OpenAI Gym book to get started and learn to build deep reinforcement learning agents using PyTorch

1ZLab在准备挑选合适的小车来研发计算机视觉的教程时候 , 发现习惯了Python语法的我们, 在市面上找不到合适小车, 后来我们选了ESP32作为小车的控制主板, 可以使用Python对其进行交互式编程, 极大的提升了开发效率.

PyTorch implementation of Soft Actor-Critic (SAC)

This repository collected 3 ways to show trajectory of robot in ROS

Repository for codes of 'Deep Reinforcement Learning'

JAX implementations of core Deep RL algorithms

Cryptocurrency trading bot with a graphical user interface with support for simulations, backtests, optimizations, and running live bots.

CVRA monorepo - All software running on our bots lives here

ROS msgs package for TurtleBot3

Interpretable End-to-end Urban Autonomous Driving with Latent Deep Reinforcement Learning

a one-stop repo to lookup for code snippets of core java concepts, sql, data structures as well as big data. It also consists of interview questions asked in real-life.

Deep Reinforcement Learning by using Proximal Policy Optimization and Random Network Distillation in Tensorflow 2 and Pytorch with some explanation

No description or website provided.

Predicts the best chess move with 27.5% accuracy by a single matrix multiplication

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