Akash Pallath's repositories
torch_models
Basic deep learning models in PyTorch.
stringmethod
Python implementation of the string method to compute the minimum energy path between two points on any 2-dimensional energy landscape.
sl-correlation-scripts
MATLAB scripts for calculating correlations for fluctuations at solid-liquid interface, using LAMMPS MD simulation datta
parallel_algos
Implementations of high performance shared and distributed memory parallel algorithms using OpenMP and MPI in C [work in progress].
INDUSAnalysis
Python package to analyze molecular simulation data generated using GROMACS-INDUS.
keras_sklearn_models
Basic tf2/keras deep learning models on image data and sklearn machine learning models on tabular data.
acad-council-website
Website for IITGN Academic Council 2017-18
bootstrapping_tutorial
Jupyter notebook tutorial on bootstrapping (and other related methods) for resampling and calculating uncertainties from correlated timeseries data.
crossref_miner
A simple tool to fetch citations using the Crossref REST API.
GameOfLife
Conway's Game of Life on a rectangular 2D grid with OpenMP parallelization.
gemini_penn
gemini_penn is an (unofficial) fork of the Gemini beamerposter theme with the University of Pennsylvania logo, colors, and fonts
hexagdly
Process hexagonally sampled data with PyTorch
multiagent_timetable_scheduling
Implementation of a multi-agent based algorithm for solving a simplified version of the University Timetabling Problem, using Simulated Annealing, in NetLogo
network_flow
Implementation of selected flow algorithms and programming contest problems (TopCoder and ACM-ICPC)
paperfetcheR-Notebooks
R-Notebooks demonstrating how to use paperfetcher in R through reticulate.
paperfetcheR-starter
R script templates to help you get started with handsearching and citation searching using paperfetcher.
pgcc
Website for Penn Graduate Consulting Club
prog_practices_demo
Repository accompanying the Patel Group tutorial on good programming practices.
pyib
PyTorch & OpenMM implementations of information bottleneck based approaches for learning and biasing reaction coordinates in molecular simulations.