probabilistic-modeling
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Deep universal probabilistic programming with Python and PyTorch
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Jul 9, 2025 - Python
InferPy: Deep Probabilistic Modeling with Tensorflow Made Easy
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Aug 2, 2024 - Jupyter Notebook
a python framework to build, learn and reason about probabilistic circuits and tensor networks
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Dec 10, 2025 - Python
A collection of Methods and Models for various architectures of Artificial Neural Networks
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Jul 30, 2024 - Python
Sum-product networks in Julia.
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Dec 13, 2022 - Julia
A scalable and accurate probabilistic network configuration analyzer verifying network properties in the face of random failures.
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Jul 12, 2021 - Python
Distributional Gradient Boosting Machines
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Dec 13, 2022
An extension of Py-Boost to probabilistic modelling
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Jan 19, 2023 - Python
A normalizing flow using Bernstein polynomials for conditional density estimation.
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Oct 18, 2024 - Jupyter Notebook
A toolbox for inference of mixture models
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May 29, 2023 - Python
Blackjack Notebook (bjnb): Probabilistic analysis and simulation
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Dec 14, 2025 - Jupyter Notebook
Repository to reproduce "Cascade-based Echo Chamber Detection" accepted at CIKM2022
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Mar 13, 2024 - Python
Extended functionality for univariate probability distributions in PyTorch
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Jun 28, 2022 - Python
Train and evaluate probabilistic word embeddings with Python.
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Mar 5, 2025 - Python
Scalable probabilistic impact modeling
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Dec 15, 2025 - Python
Tensor-Network Machine Learning with Matrix Product States, trained via a surrogate (projective) loss instead of standard negative log-likelihood
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Oct 13, 2025 - Python
This repository introduces an adaptive formula inspired by the CHSH logic, designed to evaluate, test, and improve model performance across multiple conditions. By adapting CHSH principles into a flexible structure, it provides a systematic way to analyze results, ensure reliability, and explore deeper insights in experimentation.
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Aug 27, 2025
Probabilistic Programming with Python and Chainer
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Jul 23, 2018 - Jupyter Notebook
From-scratch C++23 AI algorithms with Eigen (ML, DL, RL, evolutionary, probabilistic, graph, and causal) built with CMake/vcpkg.
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Aug 23, 2025 - C++
Estimate the number of intelligent civilizations in our galaxy using the Drake Equation, probabilistic modeling, and data storytelling.
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Jul 15, 2025 - Jupyter Notebook
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