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@akhilpandey95

Akhil Pandey

akhilpandey95
Chicago, IL

నమస్తే, thank you for stopping by!

I'm Akhil, Phd student in computer science and maintainer of several scholarly projects surrounding predictive modeling for science of science problems. My work involves building predictive models utilizing scientific papers addressing impactful topics such as Reproducibility, and Scholarly Impact. I write scripts, notebook, and publish blogs on topics such as Deep learning, Representational Learning, Graph Neural Networks, Data Engineering, and Tools for scholarly researchers to build meaningful applications.

  • uncertainty: The repository is a collection of exhaustive list of uncertainty quantification approaches for deep learning models.
  • gnnNAS: This is a python package for building expressive message passing neural networks for any given graph datasets.

I also maintain a number of private repositories specifically writing blueprints for React applications, Python Fast API microservices, and python notebooks. Your support will be directly helpful with infrastructural costs, GCP bills, GPU billing and also accelerating the open-source development of cookbook recipes which will be beneficial to the research community at large.

Appreciate the support! 💙

Featured work

  1. akhilpandey95/pubundsci

    An Indepedent Study which focuses on the effects of public understanding about scientific literature on real world

    Jupyter Notebook 3
  2. akhilpandey95/altpred

    An independent study trying to understand the relationship between scholarly articles and scholarly reference indicators

    Python 2
  3. akhilpandey95/scholarlyimpact

    Building a machine learning model to predict citations of a given scholarly paper

    Python 3
  4. akhilpandey95/gnnNAS

    Work as part of ANL summer 2022 research with emphasis on utilizing symbolic programming to perform NAS on graph neural networks

    Python 2
  5. akhilpandey95/graphGym-Molnet

    Work as part of ANL summer 2022 research with emphasis on utilizing GraphGym + DeepHyper to perform HPO on graph neural networks.

    Python 1
  6. akhilpandey95/uncertainty

    Work as part of ANL summer 2020 research on uncertainity quanitification methods in graph neural networks

    Python 1

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