Saransh Chopra
Saransh-cpp
Intern @Logitech, MS CSE @ EPFL | once a Research Software Engineer @UCL-ARC and @CERN
Languages
Top Repositories
Fast image encryption and decryption algorithms in Julia!
This repository contains the code for encrypting an image using various techniques and PRNGs.
An overwhelming list of opportunities for my future self. (See attached link or README)
An extractive approach for generating release notes from comments and docstrings.
Solving Partial Differential Equations using Physics-Informed Neural Networks
Personal website
Repositories
197Personal website
Modern Python Package Cookiecutter
No description provided.
Papers, theses, and presentations that I like (might have read, might be on the reading list)
Solving Partial Differential Equations using Physics-Informed Neural Networks
Kernels for heterogeneous architectures written in Alpaka for SOFIE.
No description provided.
Fast image encryption and decryption algorithms in Julia!
Experimental standalone version of SOFIE
An overwhelming list of opportunities for my future self. (See attached link or README)
Analysis, mathematical + DL modelling, and collection of YouTube videos uploaded near Indian Elections
A Synergic Deep Learning Approach for Glioma Grading from Brain Tumor MRI Images
Some notes
ROOT, but not the particle physics one.
Introductory talk for RSE Career Talks and Panel at ETH Zurich.
This repository contains the code for encrypting an image using various techniques and PRNGs.
The F´ Hello World Tutorial
The official repository for ROOT: analyzing, storing and visualizing big data, scientifically
No description provided.
F´ - A flight software and embedded systems framework
Using Python's array API standard for ESA's Euclid mission
Institute for Research and Innovation in Software for High Energy Physics
EPFL Machine Learning Course, Fall 2025
No description provided.
DSA in Java
No description provided.
Projects I worked on while learning a new language/technology.
Created for the Python Tooling workshop at UCL festival
An extractive approach for generating release notes from comments and docstrings.
scikit-learn: machine learning in Python