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Greetings and salutations, dear reader! It is my utmost pleasure to welcome you to my sponsor profile. My name is Ayaka, a passionate open-source developer currently residing in the bustling city-state of Singapore.

As a developer, my focus is mainly divided into two areas of interest. Firstly, I design and develop artificial intelligence models that can efficiently process contemporary languages. My goal is to create technologies that can revolutionize the way we interact with the world around us, and make our lives more comfortable and convenient.

Secondly, I am intrigued by the historical development of languages. With that in mind, I develop algorithms and tools to explore the roots of ancient languages from different geographical areas and ethnic groups. I am fascinated by how these languages have transformed into what they are today, and what they may become in the future.

My passion for these projects has driven me to dedicate countless hours and resources towards their development. From paying for web hosting servers and domain names to computing resources, my work demands unwavering commitment. However, the recognition and popularity of my projects make all the effort worthwhile.

If you are among those who appreciate and value my work, then I welcome you to sponsor me. Your support is vital, and it lets me know that my efforts have made a difference in your life. Let us embark on a journey of innovation and progress together!

Current sponsors 2

@ztjhz
Private Sponsor

Past sponsors 5

Private Sponsor
@llegomark
@eastriverlee
@ausir0726
@clansty

Featured work

  1. google/jax

    Composable transformations of Python+NumPy programs: differentiate, vectorize, JIT to GPU/TPU, and more

    Python 28,233
  2. ayaka14732/tpu-starter

    Everything you want to know about Google Cloud TPU

    Python 462
  3. rime/rime-cantonese

    Rime Cantonese input schema | 粵語拼音輸入方案

    Python 502
  4. ayaka14732/FanWunMing

    A Simplified-Chinese-to-Traditional-Chinese font based on GenYoMin, which can handle the one-to-many problem | 繁媛明朝是基於源樣明體開發的簡轉繁字型,能處理一簡對多繁

    HTML 218
  5. ayaka14732/TrAVis

    TrAVis: Visualise BERT attention in your browser

    Python 53
  6. nk2028/qieyun-autoderiver

    An automatic extrapolation tool based on the Tshet-uinh phonological system

    TypeScript 34

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