Name: Ge Lun
Type: User
Company: Beijing University of Posts and Telecommunications (BUPT)
Bio: I am a current PhD student in the class of 2019 from Beijing University of Posts and Telecommunications (BUPT)
Location: Beijing haidian district west TuCheng Road 10, Beijing university of posts and telecommunications.
Ge Lun's Projects
A repository sharing the literatures about the full-stack SOTA techniques of the autonomous driving system
TF-Agents is a library for Reinforcement Learning in TensorFlow
An open-source platform for Visual AI.
可视化算法演示和模拟实验
An open autonomous driving platform
(Minimalism Style) Powered by Jekyll, based on the Minimal Mistakes theme and Jason Ansel's website
Automated Machine Learning with scikit-learn
accessible AutoML for deep learning.
OpenAI Baselines: high-quality implementations of reinforcement learning algorithms
The web-based visual programming editor.
Build and install OpenCV for the NVIDIA Jetson TX2
自动填写北邮”疫情防控通“的每日上报信息。
Latex template rescuing PhDs in BUPT from dissertations typesetting.
Reinforcement Learning codebase for self-driving car in Carla
C++ sample codes for robotics algorithms.
This project reproduces the book Dive Into Deep Learning (www.d2l.ai), adapting the code from MXNet into PyTorch.
Hands-on Deep Reinforcement Learning, published by Packt
deeplearning.ai(吴恩达老师的深度学习课程笔记及资源)
Path planning and control algorithms for a differential drive robot using ROS2
Dive into Deep Learning (动手学深度学习) with PyTorch.
DeepMind's software stack for physics-based simulation and Reinforcement Learning environments, using MuJoCo.
Open source hardware and software platform to build a small scale self driving car.
Dynamic Time Warping code in C/C++
Dense Visual Odometry
范仁义录播课资料,会依次推出各种完全免费的前端、后端、大数据、人工智能等课程,课程网站: https://fanrenyi.com ; b站课程地址: https://space.bilibili.com/45664489 ;
刷算法全靠套路,认准 labuladong 就够了!English version supported! Crack LeetCode, not only how, but also why.
A PyTorch reinforcement learning library for generalizable and reproducible algorithm implementations with an aim to improve accessibility in RL