swb19 Goto Github PK
Name: swb19
Type: User
Company: Tsinghua University
Bio: PhD student in the field of autonomous driving
Name: swb19
Type: User
Company: Tsinghua University
Bio: PhD student in the field of autonomous driving
100-Days-Of-ML-Code中文版
Collections of Apollo Kernels
Open-Source Framework for Development, Simulation and Benchmarking of Behavior Planning Algorithms for Autonomous Driving
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
Reinforcement Learning codebase for self-driving car in Carla
ChainerRL is a deep reinforcement learning library built on top of Chainer.
Code accompanying "Dynamic Neural Relational Inference" from CVPR 2020
Literature survey, paper reviews, experimental setups and a collection of implementations for baselines methods for predictive uncertainty estimation in deep learning models.
Autonomous Navigation using Deep Reinforcement Learning
Code for the paper "A Simple Unified Framework for Detecting Out-of-Distribution Samples and Adversarial Attacks".
A set of Deep Reinforcement Learning Agents implemented in Tensorflow.
Experiments used in "Dropout as a Bayesian Approximation: Representing Model Uncertainty in Deep Learning"
A Baseline for Detecting Misclassified and Out-of-Distribution Examples in Neural Networks
Learn fast, scalable, and calibrated measures of uncertainty using neural networks!
无人车路径规划算法demo
Interaction Dataset Python Scripts
[ECCV2020 Oral] Learning Lane Graph Representations for Motion Forecasting
Multi-Agent Connected Autonomous Driving (MACAD) Gym environments for Deep RL. Code for the paper presented in the Machine Learning for Autonomous Driving Workshop at NeurIPS 2019:
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
Motion planning algorithms commonly used on autonomous vehicles. (path planning + path tracking)
Simple visualization of NGSIM I-80 dataset
A simple and effective method for detecting out-of-distribution images in neural networks.
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.