A resource list for causality in statistics, data science and physics
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Updated
Mar 5, 2024
A resource list for causality in statistics, data science and physics
Pytorch differentiable molecular dynamics
A collection of interactive notebooks to explain concepts of quantum mechanics and related topics
Statistical Mechanics on Lattices
open source E-book on statistical physics
Error propagation and statistical analysis for Markov chain Monte Carlo simulations in lattice QCD and statistical mechanics using autograd
Parallel random matrix tools and complexity for deep learning
This is a collection of answers to a SM book written by R. K. Pathria & Paul D. Beale. Lecture notes can be added too.
computes most of information functions (joint entropy, conditional, mutual information, total correlation information distance) and deep information networks
Physics-inspired transformer modules based on mean-field dynamics of vector-spin models in JAX
Lorenz attractors, statistical mechanics, nonlinear dynamical systems, computational physics.
📖 Algorithms in simulation: Markov chain Monte Carlo, Hybrid Monte Carlo, Heat Bath Algorithm, Path integral, Density matrices etc.
mechanics, statistical mechanics, fluid dynamics, thermodynamics, quantum mechanics, electromagnetism
Multiscale Modelling Tool - mathematical modelling without the maths
Infinite order automatic differentiation for Monte Carlo with unnormalized probability distribution
Simulation of an Ideal Gas to Verify Maxwell-Boltzmann distribution
Algorithms used in Statistical Mechanics
A package to calculate ensemble averaged waves in heterogeneous materials. The focus is on wave propagation, scattering, and reflection, from particulate and porous materials.
Python framework for multi-parameter optimization and evaluation of protein folding models
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