Date

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Please complete your registration through KKTIX.

You can also stay connected and join discussions in our Discord sprint channel

Agenda

10:00 - 10:30
Arrival and Seating (Confirmation of registration information)
10:30 - 11:00
Project Introduction
11:00 - 12:00
Coding Session 1
12:00 - 13:30
Lunch Break
13:30 - 14:30
Coding Session 2
14:30 - 15:30
Group Discussion
15:30 - 16:30
Final Sprint
16:30 - 17:00
Project Summary & Closing

About the Scisprint

To join the sprint, please bring your laptop and sign up. You are also very welcome to bring your project. Please contact us if you have any questions.

Scisprint, hosted by the sciwork community, is a monthly coding sprint. It would like to facilitate discussions and exchanges among people in the fields of science, numerical computation, and engineering. Participants, regardless of experience level, can gain valuable development insights in this event.

We would like to provide a supportive and friendly environment for all attendees to support more developers to join in the open-source communities.

Coding Session

It aims to encourage collaboration and interaction among developers through project participation. The projects cover various fields, including but not limited to science, numerical computation, and engineering. You are also encouraged to share your own projects in scisprint. Refer to project list below for more details.

Project List

modmesh

modmesh seamlessly mixes C++ and Python through pybind11, allowing you to leverage the strengths of both programming languages for efficient PDE solving. We use Qt and Python to visualize the computation results to give you a better understanding of your PDE solution. modmesh also supports mesh visualization, currently in the Gmsh mesh file format. We have recently made efforts to improve the modmesh UI/UX.

The design allows it to run on Windows, Linux, and MacOS. Everyone can use or contribute to modmesh.

AItlas

A knowledge graph should formally represent relations between/among entities and provide insights for semantic computation in natural language understanding (NLU). The representation is usually like a net 2D or atlas in 3D and higher dimensions. In recent years, this is usually called RAG. We believe a knowledge graph (thus KG) can do more for AI, thus named our project AI+Atlas = AItlas.

sciwork portal

Sciwork Portal is a project for maintaining our official website - Sciwork.dev, which was built by Pelican with tailwindCSS, and deployed by Netfliy. We create the promotional pages for meetup and sprint events. Our team also maintains the sciwork conference page - conf.sciwork.dev.

We have always been actively trying to provide users a better web browsing experience, including information presentation and visual experience. Welcome to join us if you are interested in website maintence.

uTensor

uTensor is an extremely lightweight machine learning inference framework built on C++11. It simplifies model deployment by seamlessly converting TensorFlow-trained models into efficient C++ files that can be used to infer on the embedding device and integrate with optimized libraries such as CMSIS-NN by ARM with ease.

Venue

Venue Map

前沿理論及計算研究中心 (國立清華大學第三綜合大樓 A 區 5 樓).

Center for Theory and Computation (Rm. P518, 3rd General Building, National Tsing Hua University).

Floor Plan

Once you arrive at the 3rd General Building, take the elevator or stairs to the 5th floor (Section A).
The session will be held in Room P518.

Here is the floor plan to help you locate the room and nearby facilities: NTHU_CTC_floor_plan

Contact us