Stars
一个用于编程开发、学习和课程搭建的开发者工具集 🛠️ A Developer's Toolkit for Programming Learning, Development, and Tutorial Creation
🔥 Top-Rated Web-Based Linux Server Management Tool. 1Panel features an intuitive web interface that seamlessly integrates server management and monitoring, container management, database administra…
Windows Calculator: A simple yet powerful calculator that ships with Windows
📚 Modern C++ Tutorial: C++11/14/17/20 On the Fly | https://changkun.de/modern-cpp/
Collection of various algorithms in mathematics, machine learning, computer science and physics implemented in C++ for educational purposes.
中文的C++ Template的教学指南。与知名书籍C++ Templates不同,该系列教程将C++ Templates作为一门图灵完备的语言来讲授,以求帮助读者对Meta-Programming融会贯通。(正在施工中)
WBoard是一款在Windows平台基于VS2017、Qt5.9.5开发的一款开放源码的白板教学软件,主要用于学校和大学的交互式电子白板。 它既可以与交互式白板一起使用,也可以在双屏幕场景中通过笔、平板显示器和光束进行使用。 主要有演示板、网页、文档和桌面四大界面。由于时间有限,代码中不妥之处恳请广大读者批评指正。 未完待续............ 如有建议,联系[email protected]
手撸解释器教程《Crafting Interpreters》中文翻译
一个收集C/C++新手学习的入门项目,整理收纳开发者开源的小项目、工具、框架、游戏等,视频,书籍,面试题/算法题,技术文章。
Free ChatGPT API Key,免费ChatGPT API,支持GPT4 API(免费),ChatGPT国内可用免费转发API,直连无需代理。可以搭配ChatBox等软件/插件使用,极大降低接口使用成本。国内即可无限制畅快聊天。
Latex code for making neural networks diagrams
(LMNet) Moving Object Segmentation in 3D LiDAR Data: A Learning-based Approach Exploiting Sequential Data (RAL/IROS 2021)
[ECCV 2022] Dynamic 3D Scene Analysis by Point Cloud Accumulation
Self-Supervised Pillar Motion Learning for Autonomous Driving (CVPR 2021)
Unsupervised Scale-consistent Depth Learning from Video (IJCV2021 & NeurIPS 2019)
LiDAR-NeRF: Novel LiDAR View Synthesis via Neural Radiance Fields
Building Volumetric Beliefs for Dynamic Environments Exploiting Map-Based Moving Object Segmentation (RAL 2023)
[CVPR 2023 Highlight] LaserMix for Semi-Supervised LiDAR Semantic Segmentation
FlowNet3D: Learning Scene Flow in 3D Point Clouds (CVPR 2019)
Code for Paper "Self-Supervised LiDAR Scene Flow and Motion Segmentation"
The pytorch implementation of flownet3d: https://github.com/xingyul/flownet3d
PointPWC-Net is a deep coarse-to-fine network designed for 3D scene flow estimation from 3D point clouds.
PyTorch Implementation of EmerNeRF: Emergent Spatial-Temporal Scene Decomposition via Self-Supervision
This repository implements our CVPR2022 paper "BNV-Fusion: Dense 3D Reconstruction using Bi-level Neural Volume Fusion"