Daolin Sheng's repositories
meta-project-self_driving_cars_resources
This project for self-driving cars learning
meta-project-self_driving_cars_projects
This is repository is for the self-driving car project sets.
meta-project-learning_programming_algorithms
This project for LeetCode algorithm
meta-project-self_driving_cars_techs
For single skill or tech learning includes notes, docs and source code.
floow-platform-technical-project
floow-platform teachnical challenge
meta-project-learning_programming_languages
Learning Programming Languages: Java, C/C++, Python etc.
survey-computer-vision-2022
2022年计算机视觉技术综述分类汇总
acs-project-hackathon
This is project for Encode Hack Club
meta-project-artificial_intelligence_projects
This project for learning AI
acs-project-intelsystem_ros
This is project for Intelligent System and Robotics & ROS
act-plus-plus
Imitation learning algorithms with Co-training for Mobile ALOHA: ACT, Diffusion Policy, VINN
Auto-GPT
An experimental open-source attempt to make GPT-4 fully autonomous.
Coursera-ML-AndrewNg-Notes
吴恩达老师的机器学习课程个人笔记
CppCoreGuidelines
The C++ Core Guidelines are a set of tried-and-true guidelines, rules, and best practices about coding in C++
DeepLearning-500-questions
深度学习500问，以问答形式对常用的概率知识、线性代数、机器学习、深度学习、计算机视觉等热点问题进行阐述，以帮助自己及有需要的读者。 全书分为18个章节，50余万字。由于水平有限，书中不妥之处恳请广大读者批评指正。 未完待续............ 如有意合作，联系scutjy2015@163.com 版权所有，违权必究 Tan 2018.06
deeplearning_ai_books
deeplearning.ai（吴恩达老师的深度学习课程笔记及资源）
Dive-Into-Deep-Learning-PyTorch-PDF
本项目对中文版《动手学深度学习》中的代码进行了整理
linksdl.github.io
My Home Pages
meta-coins-project-webapp
init commit
meta-project-intelligence_robotics_projects
This project is for learning intel robot
meta-project-intelligence_robotics_resources
This project is for learning intel-robot
mobile-aloha
Mobile ALOHA: Learning Bimanual Mobile Manipulation with Low-Cost Whole-Body Teleoperation
sensor-fusion-for-localization-and-mapping
深蓝学院 多传感器定位融合第四期 学习笔记
Sensor-Fusion-for-Localization-Courseware
Multi-sensor fusion for localization courseware, 深蓝学院, China
stanford_alpaca
Code and documentation to train Stanford's Alpaca models, and generate the data.
westwell_test_project
Inteview test for westwell.ai tech