rajeshrinet / pyglLinks
PyGL: statistical field theory in Python. github.com/rajeshrinet/pygl
☆27Updated 3 weeks ago
Alternatives and similar repositories for pygl
Users that are interested in pygl are comparing it to the libraries listed below
Sorting:
- An introductory course on computational physics taught at the University of Vermont☆11Updated 3 years ago
- Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)☆20Updated 5 years ago
- Quantum systems containing matrix elements for second quantized solvers☆10Updated 7 months ago
- Python solver for the Brownian, Stochastic, or Noisy Differential Equations☆12Updated 6 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆73Updated 5 months ago
- ☆31Updated 4 years ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆29Updated 5 years ago
- Repo to host book about Lagrangian Descriptors technique☆16Updated last year
- Wigner's 3J, 6J, 9J symbols for python☆21Updated 10 months ago
- "Computational modeling and visualization" resource repository☆30Updated 2 years ago
- Code for the paper "Variational Monte Carlo Approach to Partial Differential Equations with Neural Networks" (https://arxiv.org/abs/2206.…☆10Updated 2 years ago
- Fortnet is a Behler-Parrinello-Neural-Network implementation, written in modern Fortran.☆31Updated 4 months ago
- This repository contains lectures on Many-body physics and Machine Learning☆13Updated 4 years ago
- Python implementation of Underdamped Langevin Inference, a method to infer the dynamical equation of underdamped stochastic systems from …☆16Updated 2 years ago
- A matplotlib style sheet to help me spend less time editing figures for my manuscripts for Phys. Rev. D.☆20Updated 2 weeks ago
- KITP tutorial codes for Active Brownian Particles☆12Updated 4 years ago
- This is to facilitate the “Machine Learning in Physics” course that I am teaching at Sharif University of Technology for winter-20 semest…☆18Updated 3 months ago
- Finite Element Solvers for Atomic Structure Calculations☆12Updated last year
- Solving stochastic differential equations and Kolmogorov equations by means of deep learning and Multilevel Monte Carlo simulation☆12Updated 3 years ago
- A lightweight, parallel python wrapper for the GSL integration library☆15Updated 4 years ago
- Mathematical Introduction to Electronic Structure Theory☆46Updated 6 years ago
- A generic and fast solver of mode-coupling theory-like integrodifferential equations☆18Updated 2 months ago
- A Python package for multipole expansions of electrostatic or gravitational potentials☆44Updated 5 months ago
- Coding exercises for UPC QML course☆15Updated 4 years ago
- Python wrapper for the Cubature algorithm explained in: http://ab-initio.mit.edu/wiki/index.php/Cubature☆40Updated last year
- Code to estimate Renormalized Mutual Information in simple settings☆13Updated 4 years ago
- Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil☆20Updated 7 years ago
- Density Matrix Renormalization Group (DMRG) in Python☆27Updated 13 years ago
- generate time continuous stochastic process for a given correlation function using Karhunen-Loève expansion☆10Updated last year
- Is Julia fast as Fortran, and easy as Python?☆18Updated 4 years ago