Probabilistic classification in PyTorch/TensorFlow/scikit-learn with Fenchel-Young losses
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Sep 19, 2023 - Python
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probabilistic-classification
Here are 8 public repositories matching this topic...
Prevalidated ridge regression is a highly-efficient drop-in replacement for logistic regression for high-dimensional data
calibration logistic-regression ridge-regression linear-models probabilistic-classification prevalidation
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Jan 31, 2024 - Python
Density Ratio Estimation with Probabilistic Classification Approach
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Mar 31, 2020 - Jupyter Notebook
QEV: independent multimodal decision model with request-defined candidates, probabilities and abstention. Built on Qwen3.5-2B.
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Oct 7, 2026 - Python
Primus Decision 0.1 by AAME: a 3.7M-parameter non-transformer model for typed probabilistic decisions, with local CPU inference, benchmarks and reproducible evidence.
machine-learning pytorch gru s4d model-evaluation state-space-model probabilistic-classification invoice-processing aame cpu-inference non-transformer typed-decisions primus-decision
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Sep 26, 2026 - Python
Simple implementation of a Gaussian Naive Classifier in python
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Feb 3, 2023 - Jupyter Notebook
Adaptive learning classifier using a Beta–Binomial model to estimate student proficiency
python learning-analytics adaptive-learning bayesian-inference educational-data-mining item-response-theory education-technology knowledge-tracing probabilistic-classification beta-binomial bayesian-modeling learner-modeling mastery-classification
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Nov 3, 2025 - Jupyter Notebook
Titanic survival prediction using the Naive Bayes classification algorithm with data preprocessing and model evaluation.
machine-learning probability-theory naive-bayes-classification classification-algorithm bayes-theorem probabilistic-classification classification-matrix
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Aug 13, 2026 - Jupyter Notebook
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