Akash Pallath's Projects
Website for IITGN Academic Council 2017-18
Beta version of Official Website for Amalthea 2016 (Technical Summit of Indian Institute of Technology Gandhinagar)
Jupyter notebook tutorial on bootstrapping (and other related methods) for resampling and calculating uncertainties from correlated timeseries data.
The course titled "Chemical Process Calculations" to be offered at IIT Gandhinagar during the Semester I of the year 2016. Course code: CL 201
Simple Python-Based Clipboard-Sharing Application
Solutions to Programming Contest/Practice Problems
A simple tool to fetch citations using the Crossref REST API.
Conway's Game of Life on a rectangular 2D grid with OpenMP parallelization.
C++ code for Markov Chain Monte Carlo simulations in the grand canonical ensemble.
gemini_penn is an (unofficial) fork of the Gemini beamerposter theme with the University of Pennsylvania logo, colors, and fonts
Process hexagonally sampled data with PyTorch
Python package to analyze molecular simulation data generated using GROMACS-INDUS.
Basic tf2/keras deep learning models on image data and sklearn machine learning models on tabular data.
Implementation of a multi-agent based algorithm for solving a simplified version of the University Timetabling Problem, using Simulated Annealing, in NetLogo
Implementation of selected flow algorithms and programming contest problems (TopCoder and ACM-ICPC)
R-Notebooks demonstrating how to use paperfetcher in R through reticulate.
R script templates to help you get started with handsearching and citation searching using paperfetcher.
Implementations of high performance shared and distributed memory parallel algorithms using OpenMP and MPI in C [work in progress].
Website for Penn Graduate Consulting Club
Python package for post-processing PLUMED metadynamics and OPES simulations.
Repository accompanying the Patel Group tutorial on good programming practices.
PyTorch & OpenMM implementations of information bottleneck based approaches for learning and biasing reaction coordinates in molecular simulations.
Variationally enhanced sampling for single-particle langevin dynamics with neural network bias potentials and path collective variables. Based on OpenMM + PyTorch.
MATLAB scripts for calculating correlations for fluctuations at solid-liquid interface, using LAMMPS MD simulation datta