Kanhaiya Gupta's Projects
Modules to extend the functionality of ORS Dragonfly.
Mini Project for the "Machine Learning for Physicists 2020" course. A RBM implementation of a set of quantum mechanical harmonic oscillators.
Course of Machine Learning in Science and Industry at Heidelberg university
Materials for the course of machine learning at Imperial College organized by YSDA
Jupyter notebook for PyHEP 2020 workshop
Repository containing monthly challenges about quantum computing.
CMB distortion calculation for a WIMP annihilation
A library for solving differential equations using neural networks based on PyTorch, used by multiple research groups around the world, including at Harvard IACS.
Playground repo for solving differential equations using the neurodiffeq package
Visualising neutrino oscillation
Two-Sample Test with Nearest Neighbors Density Ratio Estimation
Neural Nets optimisation tutorial on PyTorch for IML workshop
Python notebooks
Universally unfolding collider data with machine learning-based reweighting.
Practice your pandas skills!
Repository for the paper "Learning to Pivot with Adversarial Networks"
Welcome to the Physics-based Deep Learning Book (v0.1)
This repository contains a number of Jupyter Notebooks illustrating different approaches to solve partial differential equations by means of neural networks using TensorFlow.
Links to works on deep learning algorithms for physics problems, TUM-I15 and beyond
Physics Animations
Physics Informed Deep Learning: Data-driven Solutions and Discovery of Nonlinear Partial Differential Equations
Command line interface (CLI) for 3d printing