Ecosyste.ms sponsors
An open API service aggregating public data about GitHub Sponsors.
An open API service aggregating public data about GitHub Sponsors.
Student, 18. Keen on machine learning research:) Google Developer Expert in ML.
Funding Links: https://github.com/sponsors/radi-cho
Hello world!
I am Radostin Cholakov, a 9th grade student from Bulgaria, coding for more than 6 years now.
My project portfolio includes a built-from-scratch & fully open-source Javascript Chess API - "RSG Chess" and chess clients for every platform, a fun mobile Android/iOS game, called "Gravity Flight", social-network like productivity app - AnyGoal, a charity fundraising website "Smile for Africa", multiple node libraries, components and utilities, productivity chrome extensions & plugins and more.
At the age of 14 I became "laureate of the national IT olympiad" competing against 16-18 year old students. Multiple times first place winner in programming competitions such as NTIT, and project contests with awards by companies including GitHub, Axosoft and even Google. Holding the "Отличник на България" honour by the Minister of Education.
Currently I am working on the natural language processing platform АзБуки.ML which aims to introduce higher level of ML integration in foreign languages.
By sponsoring me I would be able to continue developing more open source software, work on my machine learning platform and publish more apps & platforms without worrying about hosting & db costs, app store taxes and project sustainability.
If you wanna learn more about me check these TV interviews - Nova TV, 7/8 TV, Bulgaria on AIR, Actualno - and connect with me in LinkedIn!
Train a model with data from Firestore, save it to Cloud Storage and make predictions in Cloud Functions - entirely using NodeJS
Language: JavaScript - Stars: 46Save the Tensorflow.js models to the filesystem of ANY Node environment
Language: TypeScript - Stars: 7Custom-built Bulgarian language data sets, used by АзБуки.ML for sentiment analysis, text classification, summarisation and generation. Open-source & free to use in any ML project.
Language: Jupyter Notebook - Stars: 18A command-line interface to generate textual and conversational datasets with LLMs.
Language: Python - Stars: 293A dataset featuring diverse dialogues between two ChatGPT (gpt-3.5-turbo) instances with system messages written by GPT-4. Covering various contexts and tasks (task-oriented dialogue systems, abstr…
Language: - Stars: 165A deep learning tabular classification architecture inspired by TabTransformer with integrated gated multilayer perceptron.
Language: Jupyter Notebook - Stars: 95