Ecosyste.ms sponsors
An open API service aggregating public data about GitHub Sponsors.
An open API service aggregating public data about GitHub Sponsors.
Sr Software Engineer at @uber
Funding Links: https://github.com/sponsors/trekhleb
Hi there! 👋 I'm Oleksii. I work as a full-time software engineer. In my spare time I do open-sourcing (normally it is about 1-2 hours in the morning before the work).
What I've done
Here is a list of projects I've done so far:
📝 trekhleb/javascript-algorithms - algorithms and data structures implemented in JavaScript with explanations and links to further readings.
🐍 trekhleb/learn-python - playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
🤖 trekhleb/homemade-machine-learning - Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained.
🤖 trekhleb/machine-learning-experiments - Interactive Machine Learning experiments: models training + models demo.
🤖 trekhleb/nano-neuron - NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn".
and +9 more.
I'm currently working on the minimalistic online drawing app okso.app
Why sponsoring
As you may see from the list of the projects above, most of them help people learn. People may use those projects to learn about algorithms in JavaScript and get prepared for technical interviews better, or to learn Python syntax and start experimenting with machine learning algorithms and math behind them, etc.
So, what your sponsorship will do is:
🙏🏻 It will show your gratitude if you find any of those projects helpful.
⏳ It will help me to spend more time on maintaining that projects reviewing issues and pull requests.
💡 It will help me to come up with new ideas and create more projects like that in the future.
📝 Algorithms and data structures implemented in JavaScript with explanations and links to further readings
Language: JavaScript - Stars: 188664🤖 Python examples of popular machine learning algorithms with interactive Jupyter demos and math being explained
Language: Jupyter Notebook - Stars: 23154📚 Playground and cheatsheet for learning Python. Collection of Python scripts that are split by topics and contain code examples with explanations.
Language: Python - Stars: 16435🤖 NanoNeuron is 7 simple JavaScript functions that will give you a feeling of how machines can actually "learn"
Language: JavaScript - Stars: 2241🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo
Language: Jupyter Notebook - Stars: 1661🌍 React hook usePosition() for fetching and following a browser geolocation
Language: JavaScript - Stars: 301