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《动手学深度学习》:面向中文读者、能运行、可讨论。中英文版被55个国家的300所大学用于教学。
10 Weeks, 20 Lessons, Data Science for All!
MIT Deep Learning Book in PDF format
A series of plugins to the ROS navigation stack to incorporate deep learning inputs.
An event-based on-line adaptable fast nonlinear model predictive control framework
Set of tools for mobile robot navigation with depth sensor
Apollo notes (Apollo学习笔记) - Apollo learning notes for beginners.
The DeepMind Control Suite and Package
dbw adas kits
Deep Reinforcement Learning (DQN) based Self Driving Car Control with Vehicle Simulator
ROS node for global path planning using D*-lite on a 2D or 3D grid.
This project explores making a wireless automatic guided robot which does not require any kind of intrusive modifications to be made to the environment, apart from installing an overhead camera. Generally environments that make use of automatic guided vehicles (AGVs) have to plan the path(s) where the robots should go before installing the tracks, like magnetic strips or metal tracks; this is an investment even before using the robots. If any change to the path(s) is required to be made, then more cost is incurred. In this paper a four wheeled differential drive robot has been controlled wirelessly to follow paths drawn on a graphical user interface within a workspace of 1.8m by 1.4m. The robot is controlled by correcting its orientation through visual feedback from a camera. Error analysis was performed to investigate how well the robot followed the path drawn. The estimated error of the robot is within a few centimeters of the path and can be reduced by modifying various thresholds.
An autonomous deep learning indoor delivery robot made with Jetson
An implementation of End to End Learning for Self-Driving Cars https://arxiv.org/abs/1604.07316 and visualize the cnn model https://arxiv.org/abs/1611.05418
A Robust and Efficient Trajectory Planner for Quadrotors
An autonomous R.C. racecar which detects people.
MPC Path Follower for the Hyundai Genesis.
GeRoNa (Generic Robot Navigation) is a modular robot navigation framework, that bundles path planning and path following (including obstacle detection) and manages communication between the individual modules. It is designed to be easily extensible for new tasks and robot models.
🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
开源机器人学学习指南
ROS stack with footstep planning and localization for humanoid robots: http://wiki.ros.org/humanoid_navigation
1/20 MiniCar: An ackermann based rover for MPC and Pure-Pursuit controller
COIN-OR Interior Point Optimizer IPOPT
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.