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abheesht17/README.md

Hi there, I am Abheesht 👋

I am a member of the Keras team at Google. I work on KerasRS, a RecSys library built using Keras 3, and KerasHub, a pretrained modelling library. I love contributing to open source and have been contributing extensively to KerasHub from before my time at Google. Previously, I was an Applied Scientist at Amazon Science, where my work involved devising Machine Learning techniques to detect advertisement bots. Here's some of my NLP/CV/ad fraud detection research.

Connect with me:

abheesht17.github.io/

penstrokes17 | Twitter

sharmabhee@gmail.com | E-mail

abheesht-sharma-567303156 | LinkedIn

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  1. super-pixels super-pixels Public

    Code for our paper: Superpixel-based Domain-Knowledge Infusion in Computer Vision (https://arxiv.org/abs/2105.09448)

    Python 19 3

  2. google/tunix google/tunix Public

    A JAX-native LLM Post-Training Library

    Python 2k 182

  3. keras-team/keras-hub keras-team/keras-hub Public

    Pretrained model hub for Keras 3.

    Python 949 310

  4. keras-team/keras-rs keras-team/keras-rs Public

    Multi-backend recommender systems with Keras 3

    Python 149 17

  5. rajaswa/DRIFT rajaswa/DRIFT Public

    DRIFT is a tool for Diachronic Analysis of Scientific Literature.

    Python 126 13

  6. dalgu90/icd-coding-benchmark dalgu90/icd-coding-benchmark Public

    Automatic ICD coding benchmark based on the MIMIC dataset

    Python 41 8