
Exponential Random Number Generation: Two Classic Algorithms Compared
Compare inverse transform sampling and von Neumann's rejection method for exponential random numbers with Python …
Compare inverse transform sampling and von Neumann's rejection method for exponential random numbers with Python …
Guide to implementing the Müller-Brown potential in PyTorch, comparing analytical vs automatic differentiation with …
PyTorch implementation of the Müller-Brown potential with performance optimizations, MD simulations, and analytical vs …...
VAE tutorial using modern PyTorch: torch.distributions, optimization techniques, numerical stability, and implementation …
Learn how Coulomb matrices encode 3D molecular structure for machine learning—from basic theory to Python implementation …
Learn about the Kabsch algorithm for optimal point alignment with implementations in NumPy, PyTorch, TensorFlow, and JAX …
LAMMPS tutorial for copper surface diffusion simulation and ML training data generation. Includes setup, analysis, and …
LAMMPS tutorial for platinum adatom diffusion simulation and ML training data. Learn how heavier atoms behave …
Systematic GROMACS workflows for simulating mini-proteins across multiple amino acids to generate diverse MD …
Framework for understanding multi-arm bandit algorithms through five dimensions. Covers exploration vs exploitation and …
How HyperNEAT uses indirect encoding and geometric patterns to evolve large-scale neural networks with biological …
Discover how machine learning actually works through three fundamental approaches, explained with everyday examples you …