mjunsen123
Data Scientist (KTP Associate) at Test Incorporated Limited and University of Aberdeen
University of Aberdeen
mjunsen123's Stars
yahsiuhsieh/visual-inertial-slam
Simultaneous Localization and Mapping using Extended Kalman Filter
PyojinKim/ARCore-Data-Logger
Android app to save ARCore results (Visual-Inertial Odometry) to a series of text files for offline use.
LiZhengXiao99/Navigation-Learning
我的导航学习笔记,内容涵盖导航定位开源程序的源码解读 ( 包括:RTKLIB、GAMP、GINav、Ginan、PSINS、SoftGNSS、KF-GINS、GICI-Lib 等)、开源项目梳理、书籍讲义、博客翻译、教程讲座推荐;本仓库会长期更新,分享出来,既是跟大家做个交流,也激励着自己坚持学下去;所有内容都可以随意转载,原始文件都放在这了,欢迎在我的基础上整理出自己的一些文档。
sgrvinod/a-PyTorch-Tutorial-to-Object-Detection
SSD: Single Shot MultiBox Detector | a PyTorch Tutorial to Object Detection
Tencent/ncnn
ncnn is a high-performance neural network inference framework optimized for the mobile platform
ultralytics/ultralytics
Ultralytics YOLO11 🚀
AaltoVision/ADVIO
An Authentic Dataset for Visual-Inertial Odometry
UZ-SLAMLab/ORB_SLAM3
ORB-SLAM3: An Accurate Open-Source Library for Visual, Visual-Inertial and Multi-Map SLAM
mnixry/python-orb-slam3
A Python wrapper of ORB-SLAM3 feature extraction algorithm.
luigifreda/pyslam
pySLAM is a visual SLAM pipeline in Python for monocular, stereo and RGBD cameras. It supports many modern local and global features, different loop-closing methods, a volumetric reconstruction pipeline, and depth prediction models.
Akbonline/SLAMPy-Monocular-SLAM-implementation-in-Python
Pythonic implementation of an ORB feature matching based Monocular-vision SLAM.
zdzhaoyong/GSLAM
A General Simultaneous Localization and Mapping Framework which supports feature based or direct method and different sensors including monocular camera, RGB-D sensors or any other input types can be handled.
GoogleCloudPlatform/generative-ai
Sample code and notebooks for Generative AI on Google Cloud, with Gemini on Vertex AI
svc-develop-team/so-vits-svc
SoftVC VITS Singing Voice Conversion
Plachtaa/VITS-fast-fine-tuning
This repo is a pipeline of VITS finetuning for fast speaker adaptation TTS, and many-to-many voice conversion