Entrepreneur, achiever, ENTJ.
Robotics + machine learning = autonomous vehicles
Teaching robots how to understand our world
Main research topics iterests: computer vision, SLAM, geometry and machine learning for robotics and autonomous driving
Name: David Torres Ocaña
Type: User
Company: Freelancer and entrepreneur
Bio: Entrepreneur, achiever, ENTJ. Robotics + Computer Vision + Machine Learning. Teaching robots how to understand our world
Location: EU
Entrepreneur, achiever, ENTJ.
Robotics + machine learning = autonomous vehicles
Teaching robots how to understand our world
Main research topics iterests: computer vision, SLAM, geometry and machine learning for robotics and autonomous driving
Adaptive and fault tolerant flight control with Adaptive Neural Networks
CAN bus tools.
Commonly used messages in ROS. Includes messages for actions (actionlib_msgs), diagnostics (diagnostic_msgs), geometric primitives (geometry_msgs), robot navigation (nav_msgs), and common sensors (sensor_msgs), such as laser range finders, cameras, point clouds.
Adaptive flight control for DBX hybrid drone
A lightweight, customizable single-page personal portfolio website template built with JavaScript and Sass
ML Dataset Governance Policy for Autonomous Vehicle Datasets
Docker Cheat Sheet
docker engine release repository fork of moby
Stable Px4 stack release for DBX flight control stack usage
ROS workspace for DBX companion computer: Fight management, vision-based landing, etc
ETH-Zurich ROS introduction course exercises
The image_common of http://www.ros.org/wiki/image_common has moved to github
Extended Information Filter for Inertial Navigation Systems: Unmanned vehicles Attitude determination with multisensor/multirate systems
Kalman Filter book using Jupyter Notebook. Focuses on building intuition and experience, not formal proofs. Includes Kalman filters,extended Kalman filters, unscented Kalman filters, particle filters, and more. All exercises include solutions.
:blue_book: Automatic documentation from sources, for MkDocs.
Matlab implementation of exercises of Andrew Ng course Machine Learning
lecture notes of Multiple View Geometry by Prof. Daniel Cremers at Technische Universität München
Nexar challenge #2
Simulator and propagator of orbits
A Pointcloud streaming (Flask) app and web browser visualiser (Three.js)
A portfolio optimiser tool using Mean-Variance Optimization with historical data.
Best practices, conventions, and tricks for ROS
A ROS package to run Tensorflow models for object detection and image segmentation
A ROS node template to embed Simulink generated C++ code
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Modelling and flight control development for XXCopter: 9dof-3 propellers overactuated multicopter
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.