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nebelgrau77/README.md

Hello world! 🤖

I decided to learn something about data science, so I found out about Python and started with that. I was curious about electronics, and thought this would help me learn programming in general, so I also started tinkering with MicroPython on Espressif and STM32 devices. Then I decided to try C, and discovered Rust.

It seemed scattered all over the place for a while, but some pattern emerged at some point, so to speak. Learning about data, machine learning, neural networks and microcontrollers led to my interest in TinyML, that is machine learning on small, low power devices.

I'm currently working on:

  • small CLI and TUI Rust programs, mainly for some sort of data processing, e.g. using SQLite, parsing or generating a file, and so on
  • conversion of the code from "Deep Learning on ARM microntrollers from scratch" Udemy course into Rust
  • some small neural network projects, both desktop (model training) and embedded (inference)
  • Python modules in Rust for various data-related tasks, hoping for a performance gain

These are constant learning / hobby projects, which hopefully could lead to a career transition.

Pinned Loading

  1. Conway-s_Game_of_Life_Rust Conway-s_Game_of_Life_Rust Public

    Game of Life ported to various Cortex-M MCUs

    Rust 4

  2. pcf8563-rs pcf8563-rs Public

    Rust 6 2

  3. lps25hb-rs lps25hb-rs Public

    STMicro LPS25HB Rust driver

    Rust

  4. sorensen_dice_coeff_py sorensen_dice_coeff_py Public

    Sorensen-Dice coefficient calculator turned into a Python module.

    Rust 1

  5. nano33blesense_sensors nano33blesense_sensors Public

    Rust 1

  6. STM32L0_SimpleNN STM32L0_SimpleNN Public

    Rust version of the exercises from the "Deep Learning on ARM Processors from ground up" course - WIP

    Rust 2 1