Probabilistic Circuits from the Juice library
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Jun 10, 2024 - Julia
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probabilistic-reasoning
Here are 9 public repositories matching this topic...
a python framework to build, learn and reason about probabilistic circuits and tensor networks
probabilistic-modeling
tractable-models
probabilistic-inference
probabilistic-circuits
probabilistic-machine-learning
probabilistic-reasoning
tensor-network-decompositions
tractable-inference
tensor-net
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Nov 8, 2024 - Python
Squared Non-monotonic Probabilistic Circuits
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Jul 10, 2024 - Python
oPIEC: Online Event Recognition over Noisy Data Streams using the Event Calculus
activity-recognition
logic-programming
complex-event-processing
event-calculus
stream-reasoning
probabilistic-reasoning
complex-event-recognition
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Oct 26, 2023 - Prolog
Online Probabilistic Interval-based Event Calculus
logic-programming
complex-event-processing
data-streams
event-calculus
stream-reasoning
probabilistic-reasoning
complex-event-recognition
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Dec 9, 2020 - Prolog
Data and software artifacts for the EMNLP 2024 (Main) paper "What Are the Odds? Language Models Are Capable of Probabilistic Reasoning"
benchmarking
distributions
fewshot
zeroshot
probabilistic-reasoning
llm
numerical-reasoning
llms
llm-reasoning
emnlp2024
health-reasoning
finance-reasoning
climate-reasoning
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Sep 30, 2024 - Jupyter Notebook
Probing handling of verbal probabilities in NLP models
nlp
benchmark
natural-language
english
dataset
classification
language-model
natural-language-inference
wep
probabilities
entailment
nli
verbal
logical-reasoning
probabilistic-reasoning
llm
verbal-probabilities
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May 24, 2024 - Jupyter Notebook
Sage is an intuitive system that uses advanced probability and information theory to refine questions and pinpoint answers. Ideal for enhancing customer service, diagnosing medical conditions, or playing 20 questions, Sage is versatile and adaptable for any set of questions and answers.
machine-learning
ai
information-theory
data-analysis
expert-system
akinator
medical-diagnosis
probabilistic-reasoning
dynamic-questioning
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Aug 28, 2024 - C++
This is a collection of algorithms and models written in Python for probabilistic programming. The main focus of the package is on Bayesian reasoning by using Bayesian networks, Markov networks, and their mixing.
machine-learning
machine-learning-algorithms
pgm
inference
bayesian-network
probabilistic-programming
bayesian-inference
bayesian-networks
probabilistic-graphical-models
bayesian-machine-learning
markov-networks
probabilistic-reasoning
markov-network
bayesian-reasoning
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Updated
Apr 29, 2023 - Python
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