Pinned Repositories
A-LOAM
Advanced implementation of LOAM
Coursera---Natural-Language-Processing-Specialization-by-deeplearning.ai
#Assignment Answers #About this Specialization: Natural Language Processing (NLP) uses algorithms to understand and manipulate human language. This technology is one of the most broadly applied areas of machine learning. As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio. By the end of this Specialization, you will be ready to design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text, and even build chatbots. These and other NLP applications are going to be at the forefront of the coming transformation to an AI-powered future. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.
data
一些测试数据
jalammar.github.io
Build a Jekyll blog in minutes, without touching the command line.
LeGO-LOAM
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
LIO-SAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
loam_back_and_forth
Laser Odometry and Mapping (back and forth spin version)
loam_velodyne
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
Natural-Language-Processing-with-Attention-Model
Using Attention Models for Natural Language Processing(Coursera)
SPHP_Image_Stitching
描述支持中文
dabingooo's Repositories
dabingooo/SPHP_Image_Stitching
描述支持中文
dabingooo/A-LOAM
Advanced implementation of LOAM
dabingooo/Coursera---Natural-Language-Processing-Specialization-by-deeplearning.ai
#Assignment Answers #About this Specialization: Natural Language Processing (NLP) uses algorithms to understand and manipulate human language. This technology is one of the most broadly applied areas of machine learning. As AI continues to expand, so will the demand for professionals skilled at building models that analyze speech and language, uncover contextual patterns, and produce insights from text and audio. By the end of this Specialization, you will be ready to design NLP applications that perform question-answering and sentiment analysis, create tools to translate languages and summarize text, and even build chatbots. These and other NLP applications are going to be at the forefront of the coming transformation to an AI-powered future. This Specialization is designed and taught by two experts in NLP, machine learning, and deep learning. Younes Bensouda Mourri is an Instructor of AI at Stanford University who also helped build the Deep Learning Specialization. Łukasz Kaiser is a Staff Research Scientist at Google Brain and the co-author of Tensorflow, the Tensor2Tensor and Trax libraries, and the Transformer paper.
dabingooo/data
一些测试数据
dabingooo/jalammar.github.io
Build a Jekyll blog in minutes, without touching the command line.
dabingooo/LeGO-LOAM
LeGO-LOAM: Lightweight and Ground-Optimized Lidar Odometry and Mapping on Variable Terrain
dabingooo/LIO-SAM
LIO-SAM: Tightly-coupled Lidar Inertial Odometry via Smoothing and Mapping
dabingooo/loam_back_and_forth
Laser Odometry and Mapping (back and forth spin version)
dabingooo/loam_velodyne
Laser Odometry and Mapping (Loam) is a realtime method for state estimation and mapping using a 3D lidar.
dabingooo/Natural-Language-Processing-with-Attention-Model
Using Attention Models for Natural Language Processing(Coursera)
dabingooo/single_data
单个数据临时上传
dabingooo/ss-fly
一键脚本搭建ss/ssr并开启bbr内核加速（Ubuntu/CentOS/Debian）
dabingooo/Trax-examples
使用google的Trax库的例子. The examples of using Google's Trax library.