【macOS 】很棒的 macOS 开源应用程序
List of awesome open source applications for macOS. This list contains a lot of native, and cross-platform apps. The main goal of this repository is to find free open source apps and start contributing. Feel free to contribute to the list, any suggestions are welcome!
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【图像字幕】真棒图像字幕
A curated list of image captioning and related area. :-)
Contributing
Please feel free to send me pull requests or email (chihung.chan@outlook.com) to add links. Markdown format:
【机器学习】真棒机器学习的软件工程
Software Engineering for Machine Learning are techniques and guidelines for building ML applications that do not concern the core ML problem -- e.g. the development of new algorithms -- but rather the surrounding activities like data ingestion, coding, testing, versioning, deployment, quality control, and team collaboration. Good software engineering practices enhance development, deployment and maintenance of production level applications using machine learning components.
⭐ Must-read
🎓 Scientific publication
【推荐系统】真棒推荐系统论文
The topic of my dissertation is recommendation system. I collected some classic and awesome papers here. Good luck to every RecSys-learner.
Awesome Recommendation System Papers
My email is ZhangYuyang4d@163.com. If you find any mistakes, or you have some suggestions, just send a email to me.
By the way, the RecSys is one of the most important conference in recommendation.
【可解释图推理】很棒的可解释图推理
A collection of research papers and software related to explainability in graph machine learning.
【图像修复】令人敬畏的图像修复
A curated list of inpainting papers and resources, inspired by awesome-computer-vision.
【torch】真棒的torch
A curated list of awesome Torch tutorials, projects and communities.
【轨迹预测】真棒轨迹预测
This is a list of useful information about trajectory prediction. Related papers, datasets and codes are included.
Maintainer - Hao Xue
News
A PyPi package of trajectory prediction tools is published!
Contributing
Please feel free to pull requests to add new resources.
【半监督学习】很棒的半监督学习
A curated list of awesome Semi-Supervised Learning resources. Inspired by awesome-deep-vision, awesome-deep-learning-papers, and awesome-self-supervised-learning.