rajeshrinet / pygl
PyGL: statistical field theory in Python. github.com/rajeshrinet/pygl
☆27Updated last year
Alternatives and similar repositories for pygl:
Users that are interested in pygl are comparing it to the libraries listed below
- Wigner's 3J, 6J, 9J symbols for python☆20Updated 8 months ago
- An introductory course on computational physics taught at the University of Vermont☆11Updated 3 years ago
- Pytorch implement of the paper Neural Canonical Transformation with Symplectic Flows☆29Updated 5 years ago
- Solving an Analytic Continuation problem with a deep Artificial Neural Network (ANN)☆20Updated 5 years ago
- Mathematical Introduction to Electronic Structure Theory☆45Updated 6 years ago
- Quantum systems containing matrix elements for second quantized solvers☆10Updated 4 months ago
- Minicourse on Machine Learning for Many-Body Physics, Sept 25 – 29, 2017 São Paulo, Brazil☆20Updated 7 years ago
- Autoregressive model for solving statistical mechanics problems☆11Updated 4 years ago
- This repository contains lectures on Many-body physics and Machine Learning☆13Updated 3 years ago
- A matplotlib style sheet to help me spend less time editing figures for my manuscripts for Phys. Rev. D.☆18Updated 2 months ago
- Algorithms used in Statistical Mechanics☆18Updated 5 years ago
- ☆31Updated 4 years ago
- ☆22Updated 7 months ago
- Code for "Nonlinear stochastic modeling with Langevin regression" J. L. Callaham, J.-C. Loiseau, G. Rigas, and S. L. Brunton☆25Updated 3 years ago
- This is a collection of answers to a SM book written by R. K. Pathria & Paul D. Beale. Lecture notes can be added too.☆35Updated 6 years ago
- do the Fourier transform using the method of Padé approximants☆21Updated 4 months ago
- Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution☆22Updated last year
- Machine Learning in Condensed Matter Physics 2019 course repository☆61Updated 5 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…☆17Updated 2 weeks ago
- Hitchhiker's Guide to Deep Learning for Computational Scientists☆35Updated 6 years ago
- Python solver for the Brownian, Stochastic, or Noisy Differential Equations☆12Updated 6 years ago
- A collection of lectures and tutorials☆18Updated 9 months ago
- Ab-initio simulation of interacting fermions with equivariant normalizing flow.☆32Updated 2 years ago
- KITP tutorial codes for Active Brownian Particles☆12Updated 3 years ago
- WuLiXueBao magazine article - automatic differentiation.☆15Updated 3 years ago
- ☆22Updated 5 months ago
- Code repository for "Finding symmetry breaking order parameters with Euclidean Neural Networks"☆14Updated 4 years ago
- Code to estimate Renormalized Mutual Information in simple settings☆12Updated 4 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
- Simple and efficient Python package for modeling d-dimensional Bravais lattices in solid state physics.☆39Updated last month