yihongyishui Goto Github PK
Name: Jihao Liu
Type: User
Company: @Shanghai Jiao Tong University
Bio: at Robotics Institution at Shanghai Jiao Tong University
Location: Shanghai
Name: Jihao Liu
Type: User
Company: @Shanghai Jiao Tong University
Bio: at Robotics Institution at Shanghai Jiao Tong University
Location: Shanghai
A powerful and intuitive WYSIWYG interface that allows anyone to create Machine Learning models!
Open source simulator based on Unreal Engine for autonomous vehicles from Microsoft AI & Research
A collection of important graph embedding, classification and representation learning papers with implementations.
TensorLayer - A curated list of dedicated resources
Implementation of advantage-weighted regression.
ROS学习相关电子书,目前收集了10本
:books: books
[Siggraph 2017] BundleFusion: Real-time Globally Consistent 3D Reconstruction using Online Surface Re-integration
Code to simulate mid LV motion in an analytical phantom and generate corresponding DENSE data
Python初学者(零基础学习Python、Python入门)书籍、视频、资料、社区推荐
textbook about control, robotics, system
Dynamic Animation and Robotics Toolkit
Image restoration with neural networks but without learning.
深度学习入门开源书,基于TensorFlow 2.0案例实战。Open source Deep Learning book, based on TensorFlow 2.0 framework.
Code and data for paper "Deep Photo Style Transfer": https://arxiv.org/abs/1703.07511
Deep neural networks for voice conversion (voice style transfer) in Tensorflow
Hardware-accelerated deep learning // machine learning // NumPy library for the web.
Motion imitation with deep reinforcement learning.
A distributed visual search and visual data analytics platform.
"DenseFusion: 6D Object Pose Estimation by Iterative Dense Fusion" code repository
Design documentation for ROS 2.0 effort
本项目将《动手学深度学习》(Dive into Deep Learning)原书中的MXNet实现改为TensorFlow 2.0实现,项目已得到李沐老师的同意
Draco is a library for compressing and decompressing 3D geometric meshes and point clouds. It is intended to improve the storage and transmission of 3D graphics.
Implementation of a framework developed by Prof. Stefan Schaal for motor control in humanoid robots
Dynamic movement primitives (DMPs) are a method of trajectory control/planning from Stefan Schaal’s lab. Complex movements have long been thought to be composed of sets of primitive action ‘building blocks’ executed in sequence and \ or in parallel, and DMPs are a proposed mathematical formalization of these primitives. The difference between DMPs and previously proposed building blocks is that each DMP is a nonlinear dynamical system. The basic idea is that you take a dynamical system with well specified, stable behavior and add another term that makes it follow some interesting trajectory as it goes about its business. The DMP differential equations (Transformation System, Canonical System, Non-linear Function) realize a general way of generating point-to-point movements. Imitation learning using linear regression is performed to compute the weight factor W from a demonstrated trajectory dataset, given by a teacher. The quality of the imitation is evaluated by comparing the training data with the data generated by the DMP.
Implementation of Newcombe et al. CVPR 2015 DynamicFusion paper
Real-time dense visual SLAM system
3D reconstruction system to creating detailed scene geometry from range video.
Stability control for the end effector of a six-axis robot (an industrial manipulator or a parallel platform)
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.