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12 search results found

Montecarlomeasurements.jl ⭐ 247

Propagation of distributions by Monte-Carlo sampling: Real number types with uncertainty represented by samples.

Samplinsafari ⭐ 139

Samplin' Safari is a research tool to visualize and interactively inspect high-dimensional (quasi) Monte Carlo samplers.

A probabilistic programming language that combines automatic differentiation, automatic marginalization, and automatic conditioning within Monte Carlo methods.

A Toolkit for Distributional Control of Generative Models

Practical_rl ⭐ 24

My solutions to Yandex Practical Reinforcement Learning course in PyTorch and Tensorflow

Study Of David Mackay S Book ⭐ 21

David Mackay's book review and problem solvings and own python codes, mathematica files

Collaborative Gan Sampling ⭐ 15

[AAAI20] TensorFlow implementation of the Collaborative Sampling in Generative Adversarial Networks

pMoSS (p-value Model using the Sample Size) is a Python code to model the p-value as an n-dependent function using Monte Carlo cross-validation. Exploits the dependence on the sample size to characterize the differences among groups of large datasets

Feyntrop ⭐ 10

feyntrop integrates Feynman graphs using tropical sampling

Bayesian Non-Parametric Image Segmentation using HDP-MRF

Montecarlo ⭐ 6

Finding Areas Using the Monte Carlo Method

Random Science ⭐ 5

Fun simulations and numerical calculations for the everyday physicist.

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