langevin-dynamics
There are 56 repositories under langevin-dynamics topic.
JavierAntoran/Bayesian-Neural-Networks
Pytorch implementations of Bayes By Backprop, MC Dropout, SGLD, the Local Reparametrization Trick, KF-Laplace, SG-HMC and more
SHI-Yu-Zhe/generative-modeling-explained
Ying Nian Wu's UCLA Statistical Machine Learning Tutorial on generative modeling.
konstantinos-p/Bayesian-Neural-Networks-Reading-List
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"
bahjat-kawar/snips_torch
[NeurIPS 2021] SNIPS: Solving Noisy Inverse Problems Stochastically
enhuiz/langevin-dynamics-and-score-matching
A demo shows how to combine Langevin dynamics with score matching for generative models.
pfh/langevitour
Langevin dynamics based tours of data, in Javascript with R wrapper.
alan-turing-institute/ThermodynamicAnalyticsToolkit
Sampling-based approach to analyse neural networks using TensorFlow
zaman13/Brownian-dynamics-in-a-time-varying-force-field
A python code to calculate the Brownian motion of colloidal particles in a time varying force field.
DelSquared/Brownian-Motion
Python solver for the Brownian, Stochastic, or Noisy Differential Equations
IdahoLabResearch/BIhNNs
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).
choderalab/integrator-benchmark
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
godisreal/CrowdEgress
Agent-based simulation of social interaction (Social Force Model and Self-Propelled Brownian Particles)
ekzhang/langevin-music
Noise-conditional score networks for music composition by annealed Langevin dynamics
jung235/pydiffuser
A simulation framework for nonequilibrium statistical physics
choderalab/thresholds
Utilities for determining maximum tolerable timesteps. See https://doi.org/10.3390/e20050318
nishantsule/Langevin-Dynamics
Simulation of Langevin dynamics
vita-epfl/CODE
Implementation of CODE: Confident Ordinary Differential Editing
langevinmodel/folie
Finding Optimal Langevin Inferred Equations
haoyangzheng1996/r2SGLD
The GitHub repository for "Constrained Exploration via Reflected Replica Exchange Stochastic Gradient Langevin Dynamics", ICML 2024
haoyangzheng1996/ts_ulmc
The GitHub repository for "Accelerating Approximate Thompson Sampling with Underdamped Langevin Monte Carlo", AISTATS 2024.
ARenanse/LGPT
Langevin Gradient Parallel Tempering for Bayesian Neural Learning.
arh89/spring
Spring
gianpd/brownian_dynamics
Langevin equation MD integration
juliankappler/PySTFP
Python module for (symbolic) evaluation of the short-time Fokker-Planck propagator to arbitrary accuracy
xif-fr/BrownianMotion
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.
arthurfaria/Fluctuations-Langevin_dynamics
Algorithm for simulating Langevin dynamics and to calculate numerically the work fluctuation theorem.
HadrienNU/LangevinIntegrators.jl
A set of integrators for the Langevin equation.
har07/sgld-experiments
SGLD preconditioning performance, generalization and stability experiments
panxulab/LSVI-ASE
The official code release for "More Efficient Randomized Exploration for Reinforcement Learning via Approximate Sampling", Reinforcement Learning Conference (RLC) 2024
soran-ghaderi/torchebm
⚡ Energy-Based Modeling library for PyTorch, offering tools for sampling, inference, and learning in complex distributions.
achattaraj/maximal_Solubility_product
Python scripts to analyze and visualize the data presented in the research article: "The maximum solubility product marks the threshold for condensation of multivalent biomolecules".
achattaraj/OptimalCondensateSize
Multi-condensate state as a functional strategy to optimize the cell signaling output
apallath/pyves
Variationally enhanced sampling for single-particle langevin dynamics with neural network bias potentials and path collective variables. Based on OpenMM + PyTorch.
tmbeardsley/lfts_cpu
Langevin Field-Theoretic Simulations (L-FTS) of Diblock Copolymers on CPUs (https://www.tbeardsley.com/projects/lfts/fts_gpu)
Unique-Divine/Langevin-Dynamics-for-NN-Optimization
Bayesian Neural Network (BNN) implementations based on Langevin Dynamics and tested on real-world data