Displaying 1 to 20 from 152 results

P - The P programming language.

  •    CSharp

P is a language for asynchronous event-driven programming. P allows the programmer to specify the system as a collection of interacting state machines, which communicate with each other using events. P unifies modeling and programming into one activity for the programmer. Not only can a P program be compiled into executable code, but it can also be validated using systematic testing. P has been used to implement and validate the USB device driver stack that ships with Microsoft Windows 8 and Windows Phone. P is also suitable for the design and implementation of networked, embedded, and distributed systems.Check the P manual.

Johnny-Five - JavaScript Robotics and IoT programming framework

  •    Javascript

Johnny-Five is an Open Source, Firmata Protocol based, IoT and Robotics programming framework, developed at Bocoup. Johnny-Five programs can be written for Arduino (all models), Electric Imp, Beagle Bone, Intel Galileo & Edison, Linino One, Pinoccio, pcDuino3, Raspberry Pi, Particle/Spark Core & Photon, Tessel 2, TI Launchpad and more!

opencog - A framework for integrated Artificial Intelligence & Artificial General Intelligence (AGI)

  •    Scheme

OpenCog is a framework for developing AI systems, especially appropriate for integrative multi-algorithm systems, and artificial general intelligence systems. Though much work remains to be done, it currently contains a functional core framework, and a number of cognitive agents at varying levels of completion, some already displaying interesting and useful functionalities alone and in combination. With the exception of MOSES and the CogServer, all of the above are in active development, are half-baked, poorly documented, mis-designed, subject to experimentation, and generally in need of love an attention. This is where experimentation and integration are taking place, and, like any laboratory, things are a bit fluid and chaotic.

tf-pose-estimation - Deep Pose Estimation implemented using Tensorflow with Custom Architectures for fast inference

  •    PureBasic

'Openpose' for human pose estimation have been implemented using Tensorflow. It also provides several variants that have made some changes to the network structure for real-time processing on the CPU or low-power embedded devices. 2018.5.21 Post-processing part is implemented in c++. It is required compiling the part. See: https://github.com/ildoonet/tf-pose-estimation/tree/master/src/pafprocess 2018.2.7 Arguments in run.py script changed. Support dynamic input size.

Open3D - Open3D: A Modern Library for 3D Data Processing

  •    C++

Open3D is an open-source library that supports rapid development of software that deals with 3D data. The Open3D frontend exposes a set of carefully selected data structures and algorithms in both C++ and Python. The backend is highly optimized and is set up for parallelization. We welcome contributions from the open-source community. Please cite our work if you use Open3D.

simbody - High-performance C++ multibody dynamics/physics library for simulating articulated biomechanical and mechanical systems like vehicles, robots, and the human skeleton

  •    C++

Simbody is a high-performance, open-source toolkit for science- and engineering-quality simulation of articulated mechanisms, including biomechanical structures such as human and animal skeletons, mechanical systems like robots, vehicles, and machines, and anything else that can be described as a set of rigid bodies interconnected by joints, influenced by forces and motions, and restricted by constraints. Simbody includes a multibody dynamics library for modeling motion in generalized/internal coordinates in O(n) time. This is sometimes called a Featherstone-style physics engine. Read more about Simbody at the Simbody homepage.

Artoo - Micro-framework for Robotics using Ruby

  •    Ruby

Artoo is a micro-framework for robotics using Ruby. It provides a simple, yet powerful Domain-Specific Language (DSL) for robotics and physical computing. It provides next generation robotics framework with support for 15 different platforms. Artoo includes a RESTful API to query the status of any robot running within a group, including the connection and device status, and device streaming data via websockets.

Gobot - ng framework for robotics, drones, and the Internet of Things (IoT)

  •    Go

Gobot is a framework using the Go programming language for robotics, physical computing, and the Internet of Things. It provides a simple, yet powerful way to create solutions that incorporate multiple, different hardware devices at the same time. It provides next generation robotics / IoT framework with support for 30 different platforms.

Cylon.js - JavaScript framework for Robotics, Physical computing, and the Internet of Things

  •    Javascript

Cylon.js is a JavaScript framework for robotics, physical computing, and the Internet of Things (IoT). It provides a simple, but powerful way to create solutions that incorporate multiple, different hardware devices concurrently. It is a next generation robotics framework with support for 43 different platforms.

Ghost Perl Webserver Strong AI

  •    Perl

Ghost Perl Webserver Strong AI thinks in English or Russian by spreading activation among concepts.

Sophus - C++ implementation of Lie Groups using Eigen.

  •    C++

This is a c++ implementation of Lie groups commonly used for 2d and 3d geometric problems (i.e. for Computer Vision or Robotics applications). Among others, this package includes the special orthogonal groups SO(2) and SO(3) to present rotations in 2d and 3d as well as the special Euclidean group SE(2) and SE(3) to represent rigid body transformations (i.e. rotations and translations) in 2d and 3d. Sophus compiles with clang and gcc on Linux and OS X as well as msvc on Windows. The specific compiler and operating system versions which are supported are the ones which are used in the Continuous Integration (CI): See TravisCI and AppVeyor for details.

raspi-io - An IO plugin for Johnny-Five that provides support for the Raspberry Pi

  •    Javascript

Raspi-io is a Firmata API compatible library for Raspbian running on the Raspberry Pi that can be used as an I/O plugin with Johnny-Five. The API docs for this module can be found on the Johnny-Five Wiki, except for the constructor which is documented below. Raspi IO supports all models of the Raspberry Pi, except for the Model A. If you have a bug report, feature request, or wish to contribute code, please be sure to check out the Contributing Guide.

frustum-pointnets - Frustum PointNets for 3D Object Detection from RGB-D Data

  •    Python

Created by Charles R. Qi, Wei Liu, Chenxia Wu, Hao Su and Leonidas J. Guibas from Stanford University and Nuro Inc. This repository is code release for our CVPR 2018 paper (arXiv report here). In this work, we study 3D object detection from RGB-D data. We propose a novel detection pipeline that combines both mature 2D object detectors and the state-of-the-art 3D deep learning techniques. In our pipeline, we firstly build object proposals with a 2D detector running on RGB images, where each 2D bounding box defines a 3D frustum region. Then based on 3D point clouds in those frustum regions, we achieve 3D instance segmentation and amodal 3D bounding box estimation, using PointNet/PointNet++ networks (see references at bottom).

GibsonEnv - Gibson Environments: Real-World Perception for Embodied Agents

  •    C

You shouldn't play video games all day, so shouldn't your AI! We built a virtual environment simulator, Gibson, that offers real-world experience for learning perception. I. being from the real-world and reflecting its semantic complexity through virtualizing real spaces, II. having a baked-in mechanism for transferring to real-world (Goggles function), and III. embodiment of the agent and making it subject to constraints of space and physics via integrating a physics engine (Bulletphysics).

Deep-Reinforcement-Learning-Survey - My Exploration on Deep Reinforcement Learning Survey


If you're a newbie in deep reinforcement learning, I suggest you to read the blog post and open course first.

Fido - A lightweight C++ machine learning library for embedded electronics and robotics.

  •    C++

Fido is an lightweight, highly modular C++ machine learning library for embedded electronics and robotics. Fido is especially suited for robotic and embedded contexts, as it is written in C++ with minimal use of the standard library, comes packaged with a robotic simulator, and provides and easy interface in which to write robotic drivers. Check out the project site and documentation for more information.