CCF GitLink Code Camp (GitLink Code Camp, GLCC for short) is a summer open source project internship program for college students across the country jointly organized by the GitLink community and the CCF Open Source Development Committee (CCF ODC) under the guidance of the CCF China Computer Federation. In conjunction with major open source enterprises, open source foundations, open source communities and experts in the open source field, college students are encouraged to experience open source culture and improve their technical capabilities by participating in real open source software development, so as to achieve the purpose of delivering outstanding talents to open source enterprises and communities. .
Deep Java Library (DJL) and Deep Graph Library (DGL), two open source projects of Amazon Cloud Technology, also joined the event. At the same time, 10 topics will be provided around these two projects, and registration is open to college students across the country.
Deep Java Library (DJL)
GitLink project address: https://github.com/deepjavalibrary/djl
Project Introduction: Deep Java Library (DJL) is used to build and deploy deep learning open source projects in Java. DJL is designed to be accessible and simple to use for Java developers. DJL provides a native Java development experience that functions like other common Java libraries, and users don't need to be a machine learning/deep learning expert to get started. Users can use their existing Java expertise as a springboard to learn and use machine learning and deep learning, using their favorite IDE to build, train, and deploy models. DJL will make it very easy to integrate these models with the developer's Java application.
subject
DJL k8s Machine Learning Operator
Application subject:
https://www.gitlink.org.cn/glcc/subjects/detail/290
Project bonus: 9000 yuan
Extended "DJL Zero" project <br>Application subject:
https://www.gitlink.org.cn/glcc/subjects/detail/353
Project bonus: 12,000 yuan
Integrate GluonTS timing model into DJL
Application subject:
https://www.gitlink.org.cn/glcc/subjects/detail/227
Project bonus: 12,000 yuan
DJL Model Server Management Platform <br>Application subject:
https://www.gitlink.org.cn/glcc/subjects/detail/38
Project bonus: 12,000 yuan
DJL Model Management Platform 2.0
Application subject:
https://www.gitlink.org.cn/glcc/subjects/detail/101
Project bonus: 6000 yuan
DJL Android platform upgrade <br>Application subject:
https://www.gitlink.org.cn/glcc/subjects/detail/164
Project bonus: 9000 yuan
Click on the link above to "Apply for a Course" now!
Deep Graph Library (DGL)
GitLink project address: https://github.com/dmlc/dgl
Project Introduction: Deep Graph Library (DGL) is an easy-to-use, efficient, and scalable open source framework for deep graph learning. DGL helps researchers quickly get started with the latest research results of Graph Neural Network and supports customers to deploy and implement large-scale graph data. DGL is also compatible with a variety of mainstream deep learning frameworks (PyTorch, Apache MXNet and TensorFlow), and is designed to ensure a more consistent user experience.
subject
Time series dynamic graph neural network module <br>Application subject:
https://www.gitlink.org.cn/glcc/subjects/detail/228
Project bonus: 12,000 yuan
DGL-Go Model Library <br>Application subject:
https://www.gitlink.org.cn/glcc/subjects/detail/39
Project bonus: 6000 yuan
Graph Neural Network Module <br>Application subject:
https://www.gitlink.org.cn/glcc/subjects/detail/102
Project bonus: 6000 yuan
DGL samples and tutorials <br>Apply topics:
https://www.gitlink.org.cn/glcc/subjects/detail/165
Project bonus: 6000 yuan
Click on the link above to "Apply for a Course" now!
Through this event, Amazon Cloud Technology hopes to help more college students who are interested in deep learning of open source technology, further improve their technical capabilities, strengthen their core competitiveness, calmly connect with the future workplace, and jointly create an open source and inclusive ecosystem.
For more "Open Source Summer Camp" information, please click: https://www.gitlink.org.cn/glcc/projects
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