Scisprint 2023 December in Taipei

Date

  • Date: 30th December, Saturday, 2023
  • Time: 10:00 -- 17:00 (7 hours)

Agneda

  • 10:00-10:30 Arrival and Seating (Confirmation of registration information)
  • 10:30-11:00 Project Introduction
  • 11:00-12:00 Coding Session 1
  • 12:00-13:20 Lunch Break & Group Discussion 1
  • 13:30-14:20 Coding Session 2
  • 14:20-14:30 Group Discussion 2
  • 14:30-15:20 Coding Session 3
  • 15:20-15:30 Group Discussion 3
  • 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.

Hacking 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

Toolkit for solving partial differential equations and analysis of the results.

  • Related Subjects: Python, C++, PDE
  • Project Link: Github
  • Project Contact: Yung-Yu Chen (discord: @yyc#7718)

pyLiteracy

Mandarin LocativePeriodic-zai [在] and Repetitive-zai [再] parser based on syntactical context.

  • Project Link: Github
  • Project Contact: Jonathan Chen (discord: @ι™³η•―η”°), PeterWolf (discord: @PeterWolf#1422)

uTensor

uTensor is an extremely lightweight machine learning inference framework built on TensorFlow and optimized for Arm targets. It consists of a runtime library and an offline tool that handles most of the model translation work. This repo holds the core runtime and some example implementations of operators, memory managers/schedulers, and more, and the size of the core runtime is only ~2KB!

  • Project Link: Github
  • Project Contact: Dboy(discord: @dboyliao#1295)

pydoccht

The Traditional Chinese (zh_TW) translation project of the Python official documents.

  • Project Link: Github
  • Project Contact: Matt Wang (@mattwang44), Josix (@Josix#3800)

Sign Up

Please register at kktix.