📙 research experience
Linux, Jenkins, AWS, SRE, Prometheus, Docker, Python, Ansible, Git, Kubernetes, Terraform, OpenStack, SQL, NoSQL, Azure, GCP, DNS, Elastic, Network, Virtualization. DevOps Interview Questions
🐙 Guides, papers, lecture, notebooks and resources for prompt engineering
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
记录cv算法工程师的成长之路,分享计算机视觉和模型压缩部署技术栈笔记。https://harleyszhang.github.io/cv_note/
⚡ Dynamically generated stats for your github readmes
A curated list of awesome computer vision resources
🤗 Transformers: State-of-the-art Machine Learning for Pytorch, TensorFlow, and JAX.
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[email protected] 版权所有,违权必究 Tan 2018.06
Master the command line, in one page
✔️(持续更新)李沐 【动手学深度学习v2 PyTorch版】课程学习笔记,更正了AccumulateMore笔记的部分错误,从更加初级的角度做了部分内容补充
A collection of AWESOME things about HUGE AI models.
Best Practices, code samples, and documentation for Computer Vision.
Flops counter for convolutional networks in pytorch framework
☕ A tool to generate requirements.txt for Python project, and more than that. (IT IS NOT A PACKAGE MANAGEMENT TOOL)
论文XMind笔记生成工具,将论文pdf通过ChatGPT转换为带有图片和公式的简要XMind笔记,提高论文阅读效率。
Comprehensive and timely academic information on federated learning (papers, frameworks, datasets, tutorials, workshops)
深度学习入门教程, 优秀文章, Deep Learning Tutorial
🚀🚀🚀 A collection of some awesome public YOLO object detection series projects and the related object detection datasets.
A collection of great digital IC project/tutorial/website etc..