Name: Dongdong Bai
Type: User
Company: Institute of Automation, Chinese Academy of Sciences
Bio: Assistant Professor of Institute of Automation, Chinese Academy of Sciences
Location: Institute of Automation, Chinese Academy of Sciences,Beijing,China
Blog: https://www.linkedin.com/in/dongdongbai/
Dongdong Bai's Projects
Source codes for the book "Reinforcement Learning: Theory and Python Implementation"
Testbed for Reinforcement Learning / AI Bots in Card (Poker) Games
Reinforcement learning algorithms to play Poker
Semi-direct Visual Odometry
Designed a recognition scheme, scaling efficiently to a great number of objects: extracted SIFT features for each image, and arranged these descriptors by a vocabulary tree, clustering by k-means at each level Established a database with 1259 images, achieved an accuracy of 89.6% and average used time 3.2s
PrimeSensor Modules for OpenNI
An unsupervised learning framework for depth and ego-motion estimation from monocular videos
Pytorch version of SfmLearner from Tinghui Zhou et al.
2016年**机器人大赛第一届中型组仿真比赛程序. Simulation for 2016 China Robotics Competition.
Implementations of CFR for solving a variety of Holdem-like poker games
This repository contains code examples for the Stanford's course: TensorFlow for Deep Learning Research.
该论文主要介绍了美国卡内基梅隆大学团队,在多人德州扑克上的人工智能新思路,即不再简单寻找纳什均衡,而引入悔恨值的概念,自我博弈,并采用蒙特卡洛CFR方法,构建蓝图,该方法通用性强,该团队声称他们的德州扑克蓝图只在两枚CPU运算8天即可得出蓝图,即可以实现实时博弈。现已经有国内团队将其用在了斗地主上面,成效显著。
Efficient neural feature detector and descriptor
monoVO-python(https://github.com/uoip/monoVO-python) + SuperPointPretrainedNetwork(https://github.com/MagicLeapResearch/SuperPointPretrainedNetwork)
Code Repo for "Single View Stereo Matching" (CVPR'18 Spotlight)
Simple and ready-to-use tutorials for TensorFlow
Implementation of Posenet in TensorFlow
Tensorflow tutorial from basic to hard
Example TensorFlow codes and Caicloud TensorFlow as a Service dev environment.
TensorFlow Example Projects
TensorFlow: 实战Google深度学习框架 (第2版)——学习代码
TensorFlow template application for deep learning