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Focusing
🎯
Focusing
17 followers · 17 following

Achievements

Achievement: Pair ExtraordinaireAchievement: StarstruckAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

Achievements

Achievement: Pair ExtraordinaireAchievement: StarstruckAchievement: Pull Sharkx2Achievement: Arctic Code Vault Contributor

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Jac-Zac/README.md

Jac-Zac ⌘

I'm a university student who started coding at school and is now eager to learn more. Currently, I have several repos covering different projects for both personal interest and university coursework.

More Information About Me 🔎 

 id && whoami && uname -a
Learn More About Me 🧐 > I try to keep up-to-date with major ML and DL papers while learning more every day.
  • 🤖 I'm currently doing a master’s in artificial intelligence at the University of Trieste.
  • 🔭 I spend most of my time studying and learning new things (currently focused on mech-interp).
  • 🌱 I have recently worked with CUDA on self-attention (building it toward a FlashAttention-style implementation).
  • 💬 Ask me about anything tech-related / ML / DL (if you ask me something I can't answer, that's great — it means I’ll learn 📚).

I try to always keep myself busy with something. I guess this kind of shows it...

Jac-Zac's activity graph

🪴 Things I like, such as editors and languages:

Skills: Neovim, Raspberry Pi, PyTorch, Python, Bash, C++, C

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  1. BayesianFlow BayesianFlow Public

    This is the final project for the Probabilistic Machine Learning and Deep Learning course. In this project, we explore, analyze, and re-implement the methodology presented in the paper:

    Jupyter Notebook

  2. ML_Project_LoRA ML_Project_LoRA Public archive

    LoRA implementation in Tinygrad

    Python 2

  3. Stat_Missing_Data_Project Stat_Missing_Data_Project Public archive

    This project focuses on analyzing Missing data patterns using simulated datasets. And then extending the research to a real dataset

    HTML 1

  4. DL_Toy_Projects DL_Toy_Projects Public

    Collection of Deep Learning toy projects

    Python

  5. Self_Attention_Kernels Self_Attention_Kernels Public

    This project implements Causal Multi-Head Self-Attention (CMHSA) with three backends: a single-threaded CPU version, a multi-threaded CPU version, and a GPU-accelerated version.

    Cuda 2

  6. micrograd_cpp micrograd_cpp Public archive

    An implementation of https://github.com/karpathy/micrograd in c++

    C++ 1