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clabrugere/README.md

Clément Labrugere

I build large-scale machine learning systems and data pipelines. Rust enjoyer.

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  1. pytorch-scarf pytorch-scarf Public

    Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representation of tabular data using contrastive learning. It is inspire…

    Python 95 19

  2. wukong-recommendation wukong-recommendation Public

    Implements the paper "Wukong: Towards a Scaling Law for Large-Scale Recommendation" from Meta.

    Python 88 9

  3. scratch-llm scratch-llm Public

    From-scratch Llama 2-inspired Transformer in PyTorch for exploring tokenization, pre-training, and inference.

    Python 39 9

  4. evidential-deeplearning evidential-deeplearning Public

    Implementation of "Evidential Deep Learning to Quantify Classification Uncertainty" proposing a method to quantify uncertainty in a neural network.

    Python 30 6

  5. parqstream parqstream Public

    High-performance Parquet dataloader for ML pipelines with multithreaded prefetching to keep GPU busy.

    Rust 5

  6. rust-bandits rust-bandits Public

    Real-time Rust experimentation platform with UCB and Thompson Sampling bandits, persistent state, and recovery.

    Rust 1