mahesh27dx
I am pursuing PhD in Statistical and Soft matter physics in JGU Mainz.
Johannes Gutenburg UniversitätMainz
mahesh27dx's Stars
huseinzol05/Stock-Prediction-Models
Gathers machine learning and deep learning models for Stock forecasting including trading bots and simulations
NVIDIA/cutlass
CUDA Templates for Linear Algebra Subroutines
tip-of-the-week/cpp
C++ Tip Of The Week
martinbjeldbak/ultimate-beamer-theme-list
A collection of Beamer themes from the community
zhiwehu/100_plus_Python_Projects_Challenge
100+ Python Projects Challenge
tdegeus/pybind11_examples
Examples for the usage of "pybind11"
p-ranav/fccf
fccf: A command-line tool that quickly searches through C/C++ source code in a directory based on a search string and prints relevant code snippets that match the query.
IBM/simulai
A toolkit with data-driven pipelines for physics-informed machine learning.
kmaed/kmbeamer
My themes for Beamer.
patrickbryant1/SpeedPPI
Rapid protein-protein interaction network creation from multiple sequence alignments with Deep Learning
tylerjereddy/pycon-2016
PyCon 2016 Computational Geometry Tutorial
simongravelle/python-for-lammps
Python scripts for dealing with molecular dynamics script for LAMMPS
PrincetonUniversity/install_lammps
ghorbanimahdi73/GraphVampNet
bio-phys/asyncmd
asyncmd is a library to write concurrent code for setup, run and analysis of molecular dynamics simulations using pythons async/await synthax.
anyuzx/rdf
Radial Distribution Function code
asmunder/BPIPMDS
Best Practices for Computing Interfacial Properties from Molecular Dynamics Simulations
cdknorow/MD
analysis package for molecular dynamics simulations using numpy arrays
laphysique/Protein_RPA
ianrgraham/monk
Routines and scripts for generating HOOMD trajectories.
mme-ucl/confined_LLPS
Scripts and notebooks used to analyse experiments and simulations of LLPS in confined volumes
MoritzB90/PyRID
PyRID: A Brownian dynamics simulator for reacting and interacting particles written in Python.
rcrehuet/Probabilistic-Programming-and-Bayesian-Methods-for-Hackers
aka "Bayesian Methods for Hackers": An introduction to Bayesian methods + probabilistic programming with a computation/understanding-first, mathematics-second point of view. All in pure Python ;)
ann89/DAFT-project
egorys2000/CondensatesDynamicsML
VAMPNet application in deep learning analysis of binding peptides to condensates.
icomse/mcmd-hoomd
kendranoneman/10701_notebooks
richardjgowers/lintools
Python script that creates 2D protein-ligand interaction images
SwarnadeepSeth/Diffusion_Constant
SwarnadeepSeth/Hoomd-Blue