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Achievement: Starstruckx2Achievement: YOLOAchievement: Pull Sharkx3Achievement: QuickdrawAchievement: Pair ExtraordinaireAchievement: Arctic Code Vault Contributor

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ioangatop/README.md

I'm a Staff Machine Learning Engineer working at the intersection of AI research and production engineering, with a focus on Computer Vision, Multimodal Foundation Models, and LLMs.

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  1. kaiko-ai/eva kaiko-ai/eva Public

    Evaluation framework for oncology foundation models (FMs)

    Python 175 40

  2. kaiko-ai/towards_large_pathology_fms kaiko-ai/towards_large_pathology_fms Public

    This repository contains the official implementation of the research paper: "Towards Training Large-Scale Pathology Foundation Models: from TCGA to Hospital Scale"

    Python 41 1

  3. srVAE srVAE Public

    VAE with RealNVP prior and Super-Resolution VAE in PyTorch. Code release for https://arxiv.org/abs/2006.05218.

    Python 77 14

  4. martinetoering/ViCC martinetoering/ViCC Public

    [WACV'22] Code repository for the paper "Self-supervised Video Representation Learning with Cross-Stream Prototypical Contrasting", https://arxiv.org/abs/2106.10137.

    Python 36 7

  5. triton-inference-server/server triton-inference-server/server Public

    The Triton Inference Server provides an optimized cloud and edge inferencing solution.

    Python 11.1k 1.9k

  6. super_tml super_tml Public

    PyTorch implementation of SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data paper

    Python 24 14