Thanks to visit codestin.com
Credit goes to github.com

Skip to content
View JakobSachs's full-sized avatar

Block or report JakobSachs

Block user

Prevent this user from interacting with your repositories and sending you notifications. Learn more about blocking users.

You must be logged in to block users.

Maximum 250 characters. Please don't include any personal information such as legal names or email addresses. Markdown supported. This note will be visible to only you.
Report abuse

Contact GitHub support about this user’s behavior. Learn more about reporting abuse.

Report abuse
JakobSachs/README.md

Jakob Sachs

  • Master Comp. Sci. student at TUHH

  • Repo for my personal projects, not necessarily ment to be used easily by others (so beware)

    • I code for my own fun and needs, so don't expect anything to be stable/prod-ready
  • Programming languages ordered based on skill: Python, C, Rust, C++17/20, Java, (Go, Haskell, Julia, Zig)

    • Languages i would like to learn: Clojure/LISP, Ocaml, F#, APL
    • Work mostly in Python, with a mix of C/C++ and Rust depending on the project
  • Started coding around 2015 trying to make Minecraft mods in Java

  • Currently working on my masters-thesis on modern GPGPU architectures

  • Before that did a mixed bachelors in Computer Science and Physics

Things i've done in my freetime (newest to oldest):

Popular repositories Loading

  1. typing-metrics.nvim typing-metrics.nvim Public

    A small NVim plugin tracking the typing speed while working in NVim.

    Lua 5 1

  2. DAIS2022 DAIS2022 Public

    Repository for the DAIS2022 exercises

    Jupyter Notebook 1

  3. gonet gonet Public

    Python 1

  4. jlisp jlisp Public

    Rust 1

  5. antlr4 antlr4 Public

    Forked from antlr/antlr4

    ANTLR (ANother Tool for Language Recognition) is a powerful parser generator for reading, processing, executing, or translating structured text or binary files.

    Java

  6. textgenrnn textgenrnn Public

    Forked from minimaxir/textgenrnn

    Easily train your own text-generating neural network of any size and complexity on any text dataset with a few lines of code.

    Python