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Articole: 10
  1. Rust Networking for xv6

    Intro In my previous post I explained how to compile and link Rust modules for the x86 target, showing how to print a simple message from rust to the xv6 console.

  2. Rust Inside xv6

    Writing a Rust module for the xv6 kernel (x86) In this short guide I will go over adding Rust “modules” to a base xv6 kernel for the x86 target (although it could be adapted to RISC-V with minimal changes).

  3. How to install the Displaylink drivers on Fedora 40

    Setup First off, make sure to remove previously install displaylink and evdi packages. sudo dnf remove displaylink 'evdi-*' And install tools to build packages from source. sudo dnf groupinstall 'Development Tools' Building evdi Now build and install the

  4. Embedding book highlights onto a vector space

    Inspired by this post, I chose to create my own solution to automatically export my book highlights on a website and map them onto a vector space in order to have features such as semantic search.

  5. The idea of “Sunk Cost Opportunity”.

    The case for generating content and curating an outlet The thought of creating a personal brand, building an audience, and curating content that is relevant to what I care about and research is more tempting than ever.

  6. How to Quality Control RNA from ArchR objects

    Introduction When doing single cell multiome analysis (ATAC + RNA) in R using packages like Seurat or ArchR, it is useful to load both the scRNA-seq and scATAC-seq datasets in the same object under the same framework.

  7. Building a CHIP-8 Emulator in Rust

    In this brief writeup, I’ll show you how I wrote my first emulator–an emulator to the CHIP-8 programming language–in Rust.

  8. Introduction In this post, I will show you how to achieve 90% of the effect of a service like dotcards for free.

  9. Modeling the Covid-19 Pandemic using R and Jupyter

    - 📓 Notebook: nbviewer - 🔨 Code: github Table of contents: Introduction Tools Used My Setup The editor Dygraph Data Data Manipulation Analysis Used Models SIR Model SEIR Model Data science for epidemic investigation and modeling I recently grew an interest

  10. Using Neural Networks to Predict Stock Prices

    - 🔨 Code (my mirror): github - 🐳 Docker: dockerhub Using machine learning to predict stock market prices I recently took part in the Columbia summer course: “Big Data, Machine Learning, and their real world applications”, in which I learned about various…