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Achievements

Achievement: Starstruckx3Achievement: Pair Extraordinairex3Achievement: YOLOAchievement: Pull Sharkx3Achievement: Quickdraw

Achievements

Achievement: Starstruckx3Achievement: Pair Extraordinairex3Achievement: YOLOAchievement: Pull Sharkx3Achievement: Quickdraw

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PABannier/README.md

About me

  • I work as a Data Scientist at AI biotech Owkin.
  • 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.

In 2022, I co-created skglm, a fast sklearn-compatible solver for sparse generalized linear models. More recently, I've become interested in fast inference for large language models. I have implemented Bark.cpp, a port of SunoAI's Bark model in C/C++, as well as specialized models like BioGPT.cpp.

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

Other projects I worked on

  • 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

    C++ 723 58

  2. encodec.cpp encodec.cpp Public

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

    C++ 202 16

  3. biogpt.cpp biogpt.cpp Public

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

    C++ 87 5

  4. nanograd nanograd Public

    A lightweight deep learning framework

    Python 32 1

  5. sparseglm sparseglm Public

    Fast and modular solver for sparse generalized linear models

    Rust 8

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

    Fast and modular sklearn replacement for generalized linear models

    Python 158 32