akhilpandey95

LearnJS

A beginners cheatsheet | Javascript

pubundsci

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

scholarlyimpact

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

altpred

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

experiments

Articles about technology stacks, software libraries and programming paradigms

gnnNAS

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

akhilpandey95.github.io

Fully rendered web pages for https://akhilpandey95.com

commute

Visualizing a weeks commute using geo spatial data

Config

Includes all the Config files stored in my machine.

dissertation

Experiments, Literature, and programs utilized towards my doctoral dissertation titled "Effort of Reproducibility: A new paradigm in research reproducibility"

graphGym-Molnet

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

interpretability

Approaches for conceptualizing a framework for interpreting deep learning models

m.bot

A conversational assistant helpful to the research community for scholarly insights

rh

My personal website, blog, photos and other misc stuff

uncertainty

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

uqnni

Uncertainty Aware Non-Negative Risk Estimator for Positive-Unlabelled Learning

akhilpandey95

atlanta

Understanding the economic story of atlanta using relay bike share ride statistics

cocoa-hugo-theme

Responsive Hugo blog theme

cs228-notes

Course notes for CS228: Probabilistic Graphical Models.

cs651

Comparing the efficacy of Graph Networks in predicting the scholarly impact of articles

cs680

A repository to store all the information useful for the course on neural networks | cs680

csci658

Coursework, Literature, and programs utilized for CSCI 658 - Natural Language Processing II

datasets

A collection of datasets ready to use with TensorFlow

DeepUQ

Bayesian Uncertainty Quantification by Deep Generative Model

GCN-TF2.0

Vanilla Implementation of Graph Convolutional Networks

GNNPapers

Must-read papers on graph neural networks (GNN)

metalgpy

A library to write algorithms manipulating other algorithms. MetalgPy stands for Meta-Algorithm with Python.

Network-Optimisation

Neural Network Hyper-parameter Tuning with Genetic Algorithms 🤖🧬

sane_tikz

Reconquer the canvas: beautiful Tikz figures without clunky Tikz code