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PABannier/README.md

About me

  • I work as a Data Scientist at AI biotech Owkin, working on digital pathology.
  • I am also a software engineer and avid open-source contributor.
  • Previously, I interned at INRIA Parietal on solving neuroscience (M/EEG) inverse problems.
  • I graduated from Ecole Polytechnique and HEC Paris with a double major in data science and management.

Cool open-source projects I contributed to

  • MNE-Python, a toolkit for exploring neurophysiological data in Python
  • Linfa, the leading crate for machine learning and data analysis in Rust
  • Benchopt, a benchmarking suite for optimization algorithms
  • ggml, a tensor computing library in C

Other projects I worked on

  • Bark.cpp, Suno AI's Bark model ported in C++
  • Encodec.cpp, Meta's neural codec model ported in C++
  • SparseGLM, a fast Coordinate Descent solver in Rust
  • Nanograd, a lightweight Deep Learning framework built around Numpy arrays
  • NarrateMate.ai, a Next.JS web app to practice language comprehension listening to YouTube videos

Pinned Loading

  1. bark.cpp bark.cpp Public

    Suno AI's Bark model in C/C++ for fast text-to-speech generation

    C++ 775 65

  2. encodec.cpp encodec.cpp Public

    Port of Meta's Encodec in C/C++

    C++ 213 18

  3. biogpt.cpp biogpt.cpp Public

    Port of Microsoft's BioGPT in C/C++ using ggml

    C++ 87 5

  4. scikit-learn-contrib/skglm scikit-learn-contrib/skglm Public

    Fast and modular sklearn replacement for generalized linear models

    Python 165 34

  5. nanograd nanograd Public

    A lightweight deep learning framework

    Python 32 1

  6. sparseglm sparseglm Public

    Fast and modular solver for sparse generalized linear models

    Rust 8