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MuPhi26761/README.md

Sacha DEGOIX — Math & CS student → AI

Student in mathematics (pure & applied) and computer science, with a strong interest in AI.

Open to research Learning ML/DL

About

  • Background in mathematics (pure & applied) and computer science.
  • Passion for AI (Computer Vision, NLP, Statistical Learning).

Skills

  • Languages: Python, OCaml, C/C++, LaTeX, SQL, R
  • AI: PyTorch, TensorFlow, scikit-learn, pandas, seaborn
  • Tools: Git/GitHub, Jupyter, Linux
  • Math tools: NumPy, SciPy, SymPy

Badges:

Python Transformers OCaml C/C++ PyTorch TensorFlow scikit-learn Keras pandas SQL R seaborn Matplotlib LaTeX

Selected projects

  • Math/Algo — Random graphs —

    Theoretical study · Simultations · NumPy/SciPy.

  • Maths/CS — Elliptic-curve cryptography

Currently learning

  • Machine and Deep Learning
  • Computer vision (CNN/Transformers), convex optimization.
  • Model security (robustness, privacy).

Publications / Competitions

Coming soon

Contact & links

sacha.degoix@universite-paris-saclay.fr · LinkedIn

GitHub stats

GitHub Streak

Top Langs

Pinned Loading

  1. nn-zero-to-hero nn-zero-to-hero Public

    Faithful from-scratch reimplementations of Karpathy's Neural Networks: Zero to Hero series.

    Shell

  2. theta-gang theta-gang Public

    Forked from clmrie/theta-gang

    Jupyter Notebook

  3. fastbook fastbook Public

    Jupyter Notebook

  4. maths_orals maths_orals Public

    Jupyter Notebook