RMT-TheoryAndPractice / RMTLinks
☆118Updated 7 years ago
Alternatives and similar repositories for RMT
Users that are interested in RMT are comparing it to the libraries listed below
Sorting:
- Pytorch source code for arXiv paper Neural Network Renormalization Group, a generative model using variational renormalization group and …☆78Updated 5 years ago
- Jupyter notebooks for "A high-bias, low-variance introduction to Machine Learning for physicists"☆199Updated 4 years ago
- Code for 'Solving Statistical Mechanics using Variational Autoregressive Networks'.☆93Updated last month
- A Python package for efficient optimisation of real-space renormalization group transformations using Tensorflow.☆32Updated 4 months ago
- PyTorch toolbox for matrix product state models☆154Updated last year
- Numerical integration of Ito or Stratonovich SDEs☆167Updated 2 years ago
- physics meets neural networks☆98Updated 6 years ago
- Source code for lecture notes☆148Updated 11 months ago
- Tensor Train Toolbox☆114Updated 2 weeks ago
- Set of Lecture at Duke in 2018 by Lenka Zdeborova and Florent Krzakala "Statistical Physics For Optimization and Learning"☆16Updated 5 years ago
- kramersmoyal: Kramers-Moyal coefficients for stochastic data of any dimension, to any desired order☆74Updated 6 months ago
- ☆177Updated 2 years ago
- ☆102Updated last month
- some important properties on random matrix theory and its applications in multiple areas☆108Updated 7 years ago
- Notebooks for "A high bias low-variance introduction to Machine Learning for physicists."☆69Updated 5 years ago
- Matlab Notebook for visualizing random matrix theory results and their applications to machine learning☆123Updated 2 years ago
- This is project page for the paper "RG-Flow: a hierarchical and explainable flow model based on renormalization group and sparse prior". …☆86Updated 2 years ago
- The git repository for the TT-Toolbox☆201Updated 4 months ago
- Holmes-Nemenman modified KSG continuous entropy estimator☆16Updated 4 years ago
- Lecture notes from Introduction to Conformal Field Theory course given by Dr. Tobias Osborne.☆14Updated 3 years ago
- Lecture notes transcribed from course (Youtube videos) given by by Dr. Tobias Osborne.☆116Updated 3 years ago
- Python scripts connected to Strogatz's nonlinear dynamics and chaos theory text.☆94Updated last year
- Hitchhiker's Guide to Deep Learning for Computational Scientists☆36Updated 6 years ago
- Reconstructing quantum states with generative models☆50Updated 6 years ago
- Large scale simulation of ODEs or SDEs, analyze time series.☆25Updated 6 years ago
- 18.303 - Linear PDEs course☆144Updated last year
- Tensor network machine learning. Based on the paper "Supervised Learning with Quantum Inspired Tensor Networks" http://arxiv.org/abs/1605…☆160Updated 6 years ago
- Python-based Derivative-Free Optimization with Bound Constraints☆85Updated 10 months ago
- Example codes for the book Applied Stochastic Differential Equations☆194Updated 4 years ago
- Materials and syllabus for Cornell ORIE 7391, Faster: Algorithmic Ideas for Speeding Up Optimization☆25Updated 3 years ago