There are 1 repository under langevin-dynamics topic.
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
[NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
A primer on Bayesian Neural Networks. The aim of this reading list is to facilitate the entry of new researchers into the field of Bayesian Deep Learning, by providing an overview of key papers. More details: "A Primer on Bayesian Neural Networks: Review and Debates"
A demo shows how to combine Langevin dynamics with score matching for generative models.
Langevin dynamics based tours of data, in Javascript with R wrapper.
Sampling-based approach to analyse neural networks using TensorFlow
A python code to calculate the Brownian motion of colloidal particles in a time varying force field.
Python solver for the Brownian, Stochastic, or Noisy Differential Equations
Code for enumerating and evaluating numerical methods for Langevin dynamics using near-equilibrium estimates of the KL-divergence. Accompanies https://doi.org/10.3390/e20050318
The code enables to perform Bayesian inference in an efficient manner through the use of Hamiltonian Neural Networks (HNNs), Deep Neural Networks (DNNs), Neural ODEs, and Symplectic Neural Networks (SympNets) used with state-of-the-art sampling schemes like Hamiltonian Monte Carlo (HMC) and the No-U-Turn-Sampler (NUTS).
Noise-conditional score networks for music composition by annealed Langevin dynamics
Utilities for determining maximum tolerable timesteps. See https://doi.org/10.3390/e20050318
Simulation of Langevin dynamics
A simulation framework for nonequilibrium statistical physics
Langevin Gradient Parallel Tempering for Bayesian Neural Learning.
Algorithm for simulating Langevin dynamics and to calculate numerically the work fluctuation theorem.
Langevin equation MD integration
A set of integrators for the Langevin equation.
SGLD preconditioning performance, generalization and stability experiments
Bayesian Neural Network (BNN) implementations based on Langevin Dynamics and tested on real-world data
Simulation of a particle in a 2D Lennard-Jones gas for studying brownian motion, the Langevin equation, and non-equilibrium fluctuation-dissipation relations. Langevin simulation for studying first passage time, survival probabilities under various resetting schemes.
Advanced machine learning lab
A fork of ESPResSo by Bogdan Tanygin
A simple (PI)MD code for 1D systems
Course project for SJTU CS385: Machine Learning, advised by Prof. Quanshi Zhang, where I implemented many algorithms from scratch for face recognization and detection.
Python module for (symbolic) evaluation of the short-time Fokker-Planck propagator to arbitrary accuracy
Python and Shell scripts used in the study "Separation of sticker-spacer energetics governs the coalescence of biomolecular condensates"
Python module for the evaluation of probability densities and exit rates in a tubular ensemble
This code calculates 3D system of Langevin equations describing behaviour of nuclear shape during fission process
Langevin Field-Theoretic Simulations (L-FTS) of Diblock Copolymers on CPUs (https://www.tbeardsley.com/projects/lfts/fts_gpu)
Langevin Field-Theoretic Simulation of Diblock Copolymers on the GPU (https://www.tbeardsley.com/projects/lfts/fts_gpu)
Well-tempered metadynamics applied to Langevin field-theoretic simulations of diblock copolymers on CPUs (https://www.tbeardsley.com/projects/lfts/wtmd)
Well-tempered metadynamics applied to Langevin field-theoretic simulations of diblock copolymers on the GPU (https://www.tbeardsley.com/projects/lfts/wtmd)