bob wang's starred repositories
so-vits-svc
SoftVC VITS Singing Voice Conversion
PaddleNLP
👑 Easy-to-use and powerful NLP and LLM library with 🤗 Awesome model zoo, supporting wide-range of NLP tasks from research to industrial applications, including 🗂Text Classification, 🔍 Neural Search, ❓ Question Answering, ℹ️ Information Extraction, 📄 Document Intelligence, 💌 Sentiment Analysis etc.
Cpp_Primer_Practice
搞定C++:punch:。C++ Primer 中文版第5版学习仓库,包括笔记和课后练习答案。
arcgis-python-api
Documentation and samples for ArcGIS API for Python
awesome-slam-datasets
A curated list of awesome datasets for SLAM
faster-lio
Faster-LIO: Lightweight Tightly Coupled Lidar-inertial Odometry using Parallel Sparse Incremental Voxels
VSCode-Zhihu
Zhihu extension built on vscode.
direct_lidar_odometry
[IEEE RA-L & ICRA'22] A lightweight and computationally-efficient frontend LiDAR odometry solution with consistent and accurate localization.
H2-Mapping
H2-Mapping: Real-time Dense Mapping Using Hierarchical Hybrid Representation (2023 RAL Best Paper Award)
awesome-NLP-resources
a collection of NLP projects&tools. 自然语言处理方向项目和工具集合。
IA_LIO_SAM
IA-LIO-SAM is enhanced LIO-SAM using Intensity and Ambient channel from OUSTER LiDAR.
Anki_FlashCard_Generator
Automatically generate Anki Flashcards from your PDF files with LLM (ChatGPT in this case) to help you study.
handeye-calib
基于ROS的手眼标定
AI-Projects
AI项目(强化学习、深度学习、计算机视觉、推荐系统、自然语言处理、机器导航、医学影像处理)
PointCloudTools
PointCloudTools是一款在Windows平台基于VS2017、Qt5.9.5、PCL1.8.1、VTK8.0.0源码编译开发的专门处理点云(.pcd、.ply、.obj等格式)文件的可视化工具。 该工具点云可视化使用的是vtk8.0.0编译生成的QVTKWidget窗口控件,使用PCL可以对点云进行滤波(filter)、特征提取(features)、关键点(keypoint)、 分割(segmentation)、识别(recognition)、可视化(visualization)等操作,可以对所有点云进行WGS84到平面坐标系转换,也包含将经纬度坐标转为UTM坐标的方法。 下载64位PCL1.8.164位下载路径:https://github.com/PointCloudLibrary/pcl/releases或http://unanancyowen.com/en/pcl181 PCL1.8.1对应的VTK版本为8.0.0,下载地址:https://gitlab.kitware.com/vtk/vtk/tree/v8.0.0
Survey-and-Mapping-Contest
2018年测绘技能大赛程序设计,用C#语言编写,一共包括10个测量程序,算法参考自《测量程序设计习题集》--李英冰著。由于编写时间有限,存在错误和不完善的地方敬请谅解
Focal-Statistics
Focal Statistics