Flow Annealed Importance Sampling Bootstrap (FAB). ICLR 2023.
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Mar 11, 2024 - Python
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boltzmann-distribution
Here are 15 public repositories matching this topic...
Thermodynamic Adjoint Matching for Boltzmann generators
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Aug 24, 2026 - Python
Pure-JAX Bridge Matching Sampler with matched backward dynamics, PF-ODE likelihoods, and exact-density importance reweighting for Boltzmann targets.
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Jul 27, 2026 - Python
The pbrain-Z2I is just a gomoku engine which use the protocol of gomocup. （最新权重在咸鱼有售）
machine-learning deep-learning pytorch mcts gomoku threadpool gamma-distribution dirichlet-distribution alphazero gomocup puct toml-config onnxruntime gomoku-ai boltzmann-distribution qpiskvork
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Aug 28, 2026 - C++
Replacing the Galvani Potential with a Boltzmann Geometric State Equation for Next-Gen Battery Operation and Reduced-Gravity Molten Salt Electrolysis. (Lean 4 and Python)
python-library equation-of-state comparator electrodynamics poisson-equation electrochemistry interactive-theorem-proving mathlib in-situ-resource-utilization academic-research lean4 boltzmann-distribution space-mining galvani-potential principle-of-superposition convolution-integral geometric-coupling-constant next-gen-battery molten-salt-electrolysis
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Oct 4, 2026 - Lean
a browser app that calculates the precise average and standard deviation of all the choices for the np-complete problems in polynomial time. It treats the problems as a thermal dynamic system and assign probabilities to witnesses using the Boltzmann distribution. The partition function is approximated using the entropy and a Taylor expansion.
entropy statistical-mechanics np-hard np-complete tsp-problem vertex-cover computational-complexity travelling-salesman-problem tsp-solver 3-sat 3-satisfiability hamiltonian-cycles thermal-dynamics boltzmann-distribution np-hard-problem independent-set partition-function
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Aug 27, 2026 - JavaScript
Offline Ising spin-glass ground-state solver using exact cumulants through fifth order, Taylor expansion of the partition function, Boltzmann-based spin importance, exact preprocessing reductions, and backtracking.
optimization statistical-mechanics ising-model combinatorial-optimization taylor-expansion spin-glass ground-state qubo boltzmann-distribution partition-function ising-solver cumulant-expansion high-temperature-expansion
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Aug 29, 2026 - JavaScript
🔍 Accelerate sampling from Boltzmann distributions using score-based diffusion models for faster, interpretable, and interactive statistical mechanics solutions.
react machine-learning monte-carlo pytorch statistical-mechanics ising-model fastapi diffusion-models score-matching boltzmann-distribution
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Oct 5, 2026 - Python
An educational repository dedicated to the visualization and mathematical modeling of foundational quantum mechanics concepts. This project features expansive distributions, plots, and equations covering blackbody radiation laws (Planck, Wien, and Rayleigh-Jeans), the ultraviolet catastrophe, wave equations, and quantum harmonic oscillators.
quantum planck wave-equation harmonic-oscillator blackbody quanta boltzmann-distribution standing-wave rayleigh-jean probability-dist wien-displacement-law stefan-s-law ultraviolet-catastrophe energy-packet vibrational-degress-of-freedom spectral-radiancy
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Jun 16, 2026 - HTML
Neural approach to statistical mechanics sampling using score-based diffusion models for Boltzmann distributions
react machine-learning monte-carlo pytorch statistical-mechanics ising-model fastapi diffusion-models score-matching boltzmann-distribution
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Jan 22, 2026 - Python
This repository includes the codes for the novel randomized scheduling strategy introduced in the paper: Randomized Scheduling of ADMM-LP Decoding Based on Geometric Priors
low-density-parity-check boltzmann-distribution alternating-direction-method-of-multipliers linear-programming-decoding
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Mar 3, 2023 - Julia
Derivation of Boltzmann weights from physical assumption
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Oct 23, 2024
Sampling Benchmark Instances and Workflow
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Sep 12, 2023 - Python
The project involves Hopfield models, supervised learning and unsupervised learning.
reinforcement-learning deep-learning recurrent-neural-networks supervised-learning convolutional-neural-networks unsupervised-learning hopfield-network backpropagation perceptrons deterministic-hopfield-networks stochastic-hopfield-networks boltzmann-distribution
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Jan 4, 2021 - MATLAB
Studies on optical and thermal phenomena from the perspective of statistical mechanics.
temperature statistical-mechanics blackbody-radiation photon-number boltzmann-distribution optical-phenomena thermal-phenomena phase-cells bose-distribution particle-ontology structure-ontology
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Oct 6, 2026
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