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Name: Leehwa
Type: User
Bio: A self-driving autonomous vehicle engineer, Ph.D.
Location: Ulsan, South Korea
Name: Leehwa
Type: User
Bio: A self-driving autonomous vehicle engineer, Ph.D.
Location: Ulsan, South Korea
A simple self-driving car AI python script using the deep Q-learning algorithm
Udacity's Self-Driving Car Nanodegree project files and notes.
A self-driving car simulator built with Unity
Self Driving Car Vehicle Detection
Self-Driving Truck in Euro Truck Simulator 2, trained via Reinforcement Learning
Various networks that could be the basis of a vision system for self-driving cars
Squeeze-and-Excitation Networks
:fire::fire: A MXNet implementation of Squeeze-and-Excitation Networks (SE-ResNext, SE-Resnet, SE-Inception-v4 and SE-Inception-Resnet-v2) :fire::fire:
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
ShuffleNet Implementation in TensorFlow
State-of-the-art object tracking at high framerates, in TensorFlow.
try to implement the CVPR 2019 paper "Selective Kernel Networks" by PyTorch
learning SLAM,curse,paper and others
sparse convolution Implementation
A Tensorflow Implementation of Spatial Transformer Networks
The purpose of this project is to reimplement the following paper: https://arxiv.org/pdf/1611.10012.pdf using tensorflow
A tensorflow implementation for SqueezeDet, a convolutional neural network for object detection.
squeezeDet for object detection port to MXNet
SqueezeNet: AlexNet-level accuracy with 50x fewer parameters
Single Shot MultiBox Detector in TensorFlow
SSD implementation in development in TensorFlow
Implementation of Single Shot MultiBox Detector in TensorFlow, to detect and classify traffic signs
(CVPR 2021) ST3D: Self-training for Unsupervised Domain Adaptation on 3D Object Detection
Stanford Code From Cars That Entered DARPA Grand Challenges
Python notebooks for exercises covered in Stanford statlearning class (where exercises were in R).
Subcategory-aware Convolutional Neural Networks for Object Proposals and Detection
An extensive evaluation and comparison of 28 state-of-the-art superpixel algorithms on 5 datasets.
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.