Skip to content
You must be logged in to sponsor akhilpandey95

Become a sponsor to Akhil Pandey

@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

Learn more about sponsoring developers and organizations.

Report abuse

Select a tier

$ a month

You'll receive any rewards listed in the $25 monthly tier. Additionally, a Public Sponsor achievement will be added to your profile.

$5 a month

Select

Your money will help me pay

  • coffee
  • GCP bills

I will give you

  • Access to one private repo of your choice
  • A personalized shoutout on Twitter, my webpage

Github will give you

  • Get a Sponsor badge on your profile

$25 a month

Select

Your money will help me pay

  • GCP bills
  • GPU bills
  • Codespace Bills
  • Github Pro subscription
  • Cloud Storage costs

I will give you

  • Access to all private repositories I have ever created.
  • Ownership transfer via a repo conversion for one codespace
    • recipes part of a python notebook series on LLM's, GNN's, and deep learning at large.
    • recipes part of javascript/react application blueprint for building modular react UI components.
  • A personalized shoutout on Twitter, my webpage

Github will give you

  • Get a Sponsor badge on your profile