Projects in Awesome Lists tagged with probabilistic-models

https://github.com/turinglang/turing.jl

Bayesian inference with probabilistic programming.

artificial-intelligence bayesian-inference bayesian-neural-networks bayesian-statistics hacktoberfest hamiltonian-monte-carlo hmc julia-language machine-learning mcmc probabilistic-graphical-models probabilistic-inference probabilistic-models probabilistic-programming turing

Last synced: 05 Jan 2026

https://github.com/TuringLang/Turing.jl

Bayesian inference with probabilistic programming.

artificial-intelligence bayesian-inference bayesian-neural-networks bayesian-statistics hacktoberfest hamiltonian-monte-carlo hmc julia-language machine-learning mcmc probabilistic-graphical-models probabilistic-inference probabilistic-models probabilistic-programming turing

Last synced: 15 Mar 2025

https://github.com/tum-pbs/pbdl-book

Welcome to the Physics-based Deep Learning Book v0.3 - the GenAI Edition

artificial-intelligence bayesian-inference deep-learning fluids machine-learning numerical-simulations pde-solvers probabilistic-models spatio-temporal-prediction

Last synced: 14 May 2025

https://github.com/imperialcollegelondon/covid19model

Code for modelling estimated deaths and cases for COVID19.

bayesian-statistics branching-process covid-19 intervention-study probabilistic-models renewal-process statistical-computing statistical-inference statistical-models

Last synced: 12 Apr 2025

https://github.com/lixus7/Time-Series-Works-Conferences

Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)

accident-detection anomaly-detection deep-learning demand-forecasting location multivariate-timeseries paper-list probabilistic-models spatio-temporal spatio-temporal-data spatio-temporal-modeling spatio-temporal-prediction time-series time-series-forecasting time-series-imputation time-series-prediction traffic-prediction travel-time-prediction

Last synced: 01 May 2025

https://github.com/rust0258/Deeplearning.ai-Natural-Language-Processing-Specialization

This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai

attention-mechanism coursera deep-learning deeplearning-ai encoder-decoder logistic-regression machine-learning naive-bayes neural neural-networks nlp probabilistic-models sequence-models specialization

Last synced: 19 Jul 2025

https://github.com/machinelearnjs/machinelearnjs

Machine Learning library for the web and Node.

data-preprocessing easy-to-use feature-extraction machine-learning minimalistic node probabilistic-models random-forest statistical-learning structured-data svm web

Last synced: 24 Dec 2025

https://github.com/x-lance/voiceflow-tts

[ICASSP 2024] This is the official code for "VoiceFlow: Efficient Text-to-Speech with Rectified Flow Matching"

conditional-flow-matching generative-models probabilistic-models rectified-flow-matching speech-synthesis text-to-speech tts

Last synced: 06 Apr 2025

https://github.com/dotnet/mbmlbook

Sample code for the Model-Based Machine Learning book.

machine-learning probabilistic-graphical-models probabilistic-models probabilistic-programming

Last synced: 07 Apr 2025

https://github.com/wiseodd/probabilistic-models

Collection of probabilistic models and inference algorithms

bayesian bayesian-inference dirichlet-process gibbs-sampling machine-learning mcmc probabilistic-models python variational-inference

Last synced: 13 Apr 2025

https://github.com/Eaphan/GLENet

GLENet: Boosting 3D Object Detectors with Generative Label Uncertainty Estimation [IJCV2023]

3d-object-detection generative-model machine-learning probabilistic-models uncertainty-estimation

Last synced: 20 Mar 2025

https://github.com/nationalsecurityagency/fractalrabbit

Simulate realistic trajectory data seen through sporadic reporting

algorithm-analysis probabilistic-models simulation-modeling

Last synced: 04 Apr 2025

https://github.com/nathanaelbosch/probnumdiffeq.jl

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

differential-equations hacktoberfest julia ode ode-solver probabilistic-models probabilistic-numerics

Last synced: 11 Dec 2025

https://github.com/nathanaelbosch/ProbNumDiffEq.jl

Probabilistic Numerical Differential Equation solvers via Bayesian filtering and smoothing

differential-equations hacktoberfest julia ode ode-solver probabilistic-models probabilistic-numerics

Last synced: 04 May 2025

https://github.com/eeghor/mta

Multi-Touch Attribution

marketing markov-model probabilistic-models shapley

Last synced: 14 Dec 2025

https://github.com/kmario23/kenlm-training

Training an n-gram based Language Model using KenLM toolkit for Deep Speech 2

automatic-speech-recognition deep-neural-networks deep-speech kenlm kenlm-toolkit language-model language-modeling natural-language-processing probabilistic-models python speech-recognition

Last synced: 07 Apr 2025

https://github.com/kmario23/KenLM-training

Training an n-gram based Language Model using KenLM toolkit for Deep Speech 2

automatic-speech-recognition deep-neural-networks deep-speech kenlm kenlm-toolkit language-model language-modeling natural-language-processing probabilistic-models python speech-recognition

Last synced: 19 Jul 2025

https://github.com/kdexd/probnmn-clevr

Code for ICML 2019 paper "Probabilistic Neural-symbolic Models for Interpretable Visual Question Answering" [long-oral]

clevr icml icml-2019 neural-module-networks probabilistic-models vqa

Last synced: 07 May 2025

https://github.com/l0sg/nanoflow

PyTorch implementation of the paper "NanoFlow: Scalable Normalizing Flows with Sublinear Parameter Complexity." (NeurIPS 2020)

deep-generative-model density-estimation generative-models normalizing-flows probabilistic-models pytorch speech-synthesis

Last synced: 11 Jul 2025

https://github.com/deeprob-org/deeprob-kit

A Python Library for Deep Probabilistic Modeling

normalizing-flows probabilistic-circuits probabilistic-models sum-product-networks

Last synced: 11 May 2025

https://github.com/fahdseddik/deeplearning.ai-natural-language-processing-specialization

This is all my notebooks, lab solutions, and assignments for the DeepLearning.AI Natural Language Processing Specialization on Coursera.

attention-model coursera coursera-specialization deeplearning-ai natural-language-processing nlp probabilistic-models sequence-models vector-space-models

Last synced: 12 Apr 2025

https://github.com/pinellolab/pyrovelocity

𝒫robabilistic modeling of RNA velocity ⬱

cell-fate-determination deep-generative-model developmental-trajectories multiomics probabilistic-models probabilistic-programming pyro rna-splicing rna-splicing-analysis rna-velocity rna-velocity-estimation single-cell-genomics single-cell-multiomics single-cell-rna-seq transcriptomics

Last synced: 06 Oct 2025

https://github.com/jamesyang007/autoppl

C++ template library for probabilistic programming

automatic-differentiation bayesian bayesian-inference bayesian-statistics cpp17 ppl probabilistic-models probabilistic-programming sampling-algorithms sampling-posterior template-metaprogramming

Last synced: 21 Mar 2025

https://github.com/blei-lab/treeffuser

Treeffuser is an easy-to-use package for probabilistic prediction and probabilistic regression on tabular data with tree-based diffusion models.

diffusion-models diffusions flexible-prediction gradient-boosting heteroscedasticity lightgbm prediction probabilistic-models probabilistic-prediction tabular-data trees

Last synced: 23 Apr 2025

https://github.com/kourouklides/artificial_neural_networks

A collection of Methods and Models for various architectures of Artificial Neural Networks

artificial-neural-networks bayesian-inference bayesian-learning bayesian-neural-networks data-science deep-learning deep-neural-networks edward edward2 keras machine-learning machine-learning-algorithms machinelearning neural-networks probabilistic-modeling probabilistic-models python tensorflow variational-inference

Last synced: 12 May 2025

https://github.com/stefanwebb/flowtorch-old

Separating Normalizing Flows code from Pyro and improving API

bayesian-inference bayesian-statistics normalizing-flows probabilistic-graphical-models probabilistic-models probabilistic-programming pytorch

Last synced: 15 Jul 2025

https://github.com/weijie-chen/probability_theory

A quick introduction to all most important concepts of Probability Theory, only freshman level of mathematics needed as prerequisite.

econometrics mathematics probabilistic-models probability probability-distribution probability-theory statistics

Last synced: 01 May 2025

https://gitlab.com/agrumery/aGrUM

aGrUM is a C++ library designed for easily building applications using graphical models such as Bayesian networks, influence diagrams, decision trees, GAI networks or Markov decision processes.

artificial-intelligence bayesian-network causal-inference causal-models causality cpp20 credal-network explainable-ai influence-diagram machine-learning-algorithms markov-network parallel-algorithm probabilistic-classifiers probabilistic-graphical-models probabilistic-models python python3 statistical-learning structural-learning

Last synced: 07 Oct 2025

https://github.com/linkml/owlstar

Ontological Interpretations for Web Property Graphs

fol knowledge-graph logic owl probabilistic-models rdf rdfstar semantics semweb

Last synced: 01 Jul 2025

https://github.com/andi611/hidden-markov-model-digital-signal-processing

Discrete Hidden Markov Model (HMM) Implementation in C++

baum-welch baum-welch-algorithm cplusplus digital-signal-processing discrete-hmm dsp hmm hmm-model hmmlearn ntu ntuee probabilistic-models viterbi viterbi-algorithm viterbi-hmm

Last synced: 13 Apr 2025

https://github.com/oracle/sandwood

Sandwood - A JVM based Java like Probabilistic Programming Language

compiler java machine-learning ml probabilistic-models probabilistic-programming runtime

Last synced: 17 Aug 2025

https://github.com/vsimkus/pmr2024-hmm

An official repository for tutorials of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.

hidden-markov-models hmm hmm-model hmm-viterbi-algorithm nlp probabilistic-inference probabilistic-models

Last synced: 13 May 2025

https://github.com/aspuru-guzik-group/dionysus

For analysis of calibration, performance, and generalizability of probabilistic models on small molecular datasets. Paper on RSC Digital Discovery: https://pubs.rsc.org/en/content/articlehtml/2023/dd/d2dd00146b

biology calibration cheminformatics chemistry probabilistic-models

Last synced: 21 Jul 2025

https://github.com/arasgungore/deeplearning.ai-natural-language-processing

My solutions to the assignments in the NLP Specialization offered by DeepLearning.AI on Coursera.

attention-model autocomplete coursera coursera-specialization deep-learning-networks deeplearning-ai named-entity-recognition natural-language-processing neural-machine-translation nlp-specialization nlp-specialization-deeplearning pos-tagging probabilistic-models question-answering recurrent-neural-networks sentiment-analysis sequence-models transformer vector-space-model word-embeddings

Last synced: 12 Apr 2025

https://github.com/kevinbird61/stochastic-calculus-and-probability-model

Record the learning materials of the course - "STOCHASTIC ANALYSIS OF COMPUTER NETWORKS" in National Cheng Kung University.

computer-networking learning-materials probabilistic-models stochastic-calculus stochastic-processes

Last synced: 13 Sep 2025

https://github.com/alan-turing-institute/rpsmf

Code for Probabilistic Sequential Matrix Factorization

bayesian-methods matrix-factorization online-algorithms probabilistic-models reproducible-research reproducible-science sequential-data time-series time-series-analysis time-series-forecasting

Last synced: 05 May 2025

https://github.com/jmaces/keras-adf

Tensorflow/Keras implementation of Assumed Density Filtering (ADF) based probabilistic neural networks

deep-learning deep-neural-networks keras machine-learning probabilistic-models tensorflow

Last synced: 23 Apr 2025

https://github.com/ltfschoen/aind-recognizer

Term 1 Project 3 Design a Sign Language Recognition System by Luke Schoen for Udacity Artificial Intelligence Nanodegree (AIND)

algorithms artificial-intelligence baum-welch bayesian-information-criterion cross-platform discriminative-criterion feature-selection hidden-markov-models jupyter-notebook model-selection model-training n-grams natural-language-processing pandas-dataframes probabilistic-models python36 sign-language-recognition-system

Last synced: 01 Jul 2025

https://github.com/trappmartin/advancedprobabilisticcircuits.jl

Probabilistic Circuits in Julia

julia latent-variable-models probabilistic-circuits probabilistic-models sum-product-networks tractable-models

Last synced: 17 Jul 2025

https://github.com/dirmeier/etudes

:notes: A collection of études on probabilistic models.

bayesian-inference gaussian-processes machine-learning probabilistic-models

Last synced: 22 Aug 2025

https://github.com/nshen7/vmrseq

An R package for detecting cell-to-cell variably methylated regions (VMRs) from single-cell bisulfite sequencing leveraging probabilistic models.

computational-biology dimensionality-reduction epigenomics-workflow hidden-markov-model probabilistic-models r-package

Last synced: 20 Oct 2025

https://github.com/vsimkus/pmr2024-vae

An official repository for a VAE tutorial of Probabilistic Modelling and Reasoning (2023/2024) - a University of Edinburgh master's course.

gradient-estimation probabilistic-inference probabilistic-models vae vae-implementation variational-autoencoder variational-inference

Last synced: 13 May 2025

https://github.com/jtbuch/applied-statistics-reading-group

Notes, references, codes, and everything in between for a reading group on application of advanced statistics.

bayesian-inference machine-learning neural-networks probabilistic-models tensorflow

Last synced: 10 Oct 2025

https://github.com/rmnldwg/lymph

Python package for statistical modelling of lymphatic metastatic spread in head & neck cancer.

cancer head-and-neck hidden-markov-model lymph-nodes metastasis modelling probabilistic-models radiation-oncology

Last synced: 07 Mar 2025

https://github.com/alan-turing-institute/memorization

Code for "On Memorization in Probabilistic Deep Generative Models"

deep-learning generative-model memorization probabilistic-models pytorch reproducibility reproducible-paper reproducible-research reproducible-science

Last synced: 05 May 2025

https://github.com/johanneskopton/decision_ui

Web interface for decision support using inference diagrams and Monte Carlo simulations.

decision-analysis decision-making probabilistic-models vue

Last synced: 13 Apr 2025

https://github.com/tom-draper/persona

Probabilistic generation of character profiles using real-world demographic data.

api character-creation character-generator data-api data-generation dataset demographic demographics demographics-data fastapi generator probabilistic-models profile profile-builder random-generation rest-api sample story-creation survey

Last synced: 23 Mar 2025

https://github.com/hyiltiz/info

Correctly computed entropy, mutual information, surprisal, KL divergence, all-in-one module.

approximation entropy information-theory logical-fallacies model-selection probabilistic-models python3 statistical-learning toolbox

Last synced: 04 Apr 2025

https://github.com/geoscienceaustralia/tcha

climate hazards probabilistic-models risk tropical-cyclone winds

Last synced: 13 Apr 2025

https://github.com/cbg-ethz/pmhn

Personalised mutual hazard networks: fixed effects in cancer progression modeling

cancer-evolution probabilistic-models

Last synced: 07 Oct 2025

https://github.com/dirmeier/probabilistic-models-introduction

:bar_chart: Demos for the probabilistic modeling exercise.

probabilistic-models tutorial

Last synced: 08 Mar 2025

https://github.com/yashksaini-coder/steel-plate-multi-class-defect-prediction

Steel Plate Defect Prediction | Prediction of the probabilities of various defects on steel plates

data-science kaggle kaggle-competition machine-learning machine-learning-algorithms multi-classify-with-sklearn probabilistic-models

Last synced: 20 Feb 2025

https://github.com/xiaohan2012/cascade-reconstruction-by-tree-samples

Code for paper "Robust Cascade Reconstruction by Steiner Tree Sampling", ICDM 2018

cascade-reconstruction data-mining paper-code probabilistic-models steiner-tree tree-sampling

Last synced: 09 Sep 2025

https://github.com/lucadibello/geographical-friendship-network

Simulation of a social network formation influenced by geographical features and distance

erdos-renyi friendship-network probabilistic-models social-network

Last synced: 26 Feb 2025

https://github.com/sr-lab/gspider

Guess success probability slider, for plotting the evolution of password guessing attacks.

data-structure dependent-types password-guessers probabilistic-models risk-assessment

Last synced: 04 Oct 2025

https://github.com/jmaces/torch-adf

PyTorch implementation of Assumed Density Filtering (ADF) based probabilistic neural networks

deep-learning deep-neural-networks machine-learning probabilistic-models pytorch torch

Last synced: 28 Mar 2025

https://github.com/kgourgou/concentration-information-bounds

Showcasing the computation of the concentration-information bounds for the bias of an observable.

information-theory probabilistic-models probability-theory uncertainty-quantification

Last synced: 24 Apr 2025

https://github.com/positiveblue/libdori

Probabilistic Data Structures

big-data cpp hpc probabilistic-models randomized-algorithms

Last synced: 20 Feb 2025

https://github.com/dirmeier/dmvi

Diffusion model variational inference

diffusion-models jax probabilistic-models probabilistic-programming variational-inference

Last synced: 07 Oct 2025

https://github.com/prash030/bayesian_autonomous_search

This repository consists of codes reproducing an existing method for autonomous Bayesian search strategy for single-agent robotic applications

autonomous-robots bayesian-inference probabilistic-models search-algorithm

Last synced: 13 Oct 2025

https://github.com/Lemniscate-world/Project-Dirac

Dedicated to exploring and understanding fascinating mathematical concepts that go beyond the basics. Whether you're a math enthusiast or someone looking to deepen your knowledge in intriguing areas of mathematics, this repository aims to provide resources and insights into the most captivating topics in the field.

advanced-calculus advanced-data-structures advanced-mathematics dimensions fibonacci graph-theory hypersphere infinite-series neural-networks prime-numbers probabilistic-models

Last synced: 13 Oct 2025

https://github.com/saezlab/cnorprob

Probabilistic logic version of CellNOpt (derived from FALCON)

knockout-bootstrap logic optimization-tools probabilistic-models r sensitivity-analysis

Last synced: 15 Mar 2025

https://github.com/mauricelanghinrichs/memocell

Bayesian inference of stochastic cellular processes with and without memory in Python.

bayesian-inference biological-data-analysis biological-modeling dynamical-systems gillespie-algorithm markov-model master-equation model-selection nested-sampling parameter-estimation probabilistic-models python statistical-inference stochastic-models stochastic-processes

Last synced: 13 Apr 2025

https://github.com/jhwa426/big-data-and-machine-learning

Big Data, Data Mining / Machine Learning techniques

data-science google-colaboratory jupyter-notebook machine-learning probabilistic-models python sql statistics

Last synced: 11 Aug 2025

https://github.com/lemniscate-world/project-dirac

Dedicated to exploring and understanding fascinating mathematical concepts that go beyond the basics. Whether you're a math enthusiast or someone looking to deepen your knowledge in intriguing areas of mathematics, this repository aims to provide resources and insights into the most captivating topics in the field.

advanced-calculus advanced-data-structures advanced-mathematics dimensions fibonacci graph-theory hypersphere infinite-series neural-networks prime-numbers probabilistic-models

Last synced: 25 Mar 2025

https://github.com/tallamjr/tubingen-data-compression

Data Compression With Deep Probabilistic Models Course by Prof. Robert Bamler at University of Tuebingen.

compression probabilistic-models

Last synced: 31 Jul 2025

https://github.com/carlosal1015/a-randomized-algorithm-to-calculate-the-median

Formative research work of the course Introduction to statistics and probabilities.

median probabilistic-models probability r statistics

Last synced: 05 Mar 2025

https://github.com/praatibhsurana/natural_language_processing

Python codes to implement fundamental algorithms and techniques associated with Natural Language Processing.

natural-language-processing nlp probabilistic-models python vector-space

Last synced: 13 Sep 2025

https://github.com/adamelkholyy/ma-probcog

Notebook from masters course in Probabilistic Cognitive Modelling @ University of Helsinki. Includes manual calculation of response distribution and Bayesian observer likelihoods.

bayesian-inference bayesian-machine-learning probabilistic-models

Last synced: 28 Aug 2025

https://github.com/robbenribery/timeseries-probalistic-topdown-drichilet

Make HTS Forecasting paper implemented on a M5 dataset

deep-learning large-scale-learning probabilistic-models research-paper time-series-forecasting

Last synced: 28 Dec 2025

https://github.com/rwth-irt/bayesnet.jl

Type stable implementation of a Bayesian network.

julia-language probabilistic-graphical-models probabilistic-models probabilistic-programming

Last synced: 14 Mar 2025

https://github.com/harmim/vut-sav-project

Static Analysis and Verification - Project - PRISM

bdd markov-chain markov-decision-processes model-checking pctl prism probabilistic-models sav static-analysis stochastic-processes verification vut vut-fit

Last synced: 31 Mar 2025

https://github.com/ai-ahmed/stochastic_fex

Probabilistic PCA and PKPCA for Stochastic Feature Extraction and Missing Data Reconstruction

bayesian chex distrax finance jax pkpca ppca probabilistic probabilistic-models python quantitative-finance stochastic

Last synced: 24 Feb 2025

https://github.com/ahmadabbadi101/stable-diffusion

Probability-based analysis of Stable Diffusion Model. Scaling down the model into fairly simple practical tasks. Done as a university project with two colleagues.

analysis probabilistic-models probability probability-distribution python stable-diffusion

Last synced: 30 Aug 2025

https://github.com/prajeshshrestha/natural-language-processing-specialization

Assignment Files, Notes and Slides of DeepLearning.AI Natural Language Processing Specialization

attention-model bert deep-learning duplicate-detection logistic-regression machine-learning naive-bayes-classifier named-entity-recognition neural-machine-translation nlp probabilistic-models sentiment-analysis sequence-models siamese-network t5-model transformer vector-space-model word-embeddings

Last synced: 28 Feb 2025

https://github.com/saadarazzaq/probabilistic-tennis-classifier

Predict tennis play decisions from weather data with Naive Bayes Classifier. 🎾🔥

machine-learning naive-bayes-classifier probabilistic-models supervised-learning

Last synced: 17 Mar 2025

https://github.com/matthewcarbone/easybayes

Probabilistic modeling, Gaussian process and Bayesian optimization sandbox

bayesian-optimization gaussian-processes probabilistic-models

Last synced: 29 Jun 2025

https://github.com/esraaj-sarkar-gupta/simulating-randomwalks

A project with python scripts simulating different random walks of varying complexity.

probabilistic-models random-walk-collisions random-walks

Last synced: 10 Sep 2025

https://github.com/ai-ahmed/ppcax

Probabilistic PCA and PKPCA for Stochastic Feature Extraction and Missing Data Reconstruction

bayesian chex distrax finance jax pkpca ppca probabilistic probabilistic-models python quantitative-finance stochastic

Last synced: 13 Apr 2025

https://github.com/francescopiocirillo/bayesian-map-vs-logistic-regression

Binary classification project in Python comparing a MAP classifier (with known distributions) vs. logistic regression. Includes analytical posterior derivation, Monte Carlo simulation, and gradient-based training. Focus on error probability, variance impact, and model performance.

bayesian-classifier binary-classification classification-algorithm data-science gradient-descent jupyter-notebook logistic-regression machine-learning map-estimation monte-carlo-simulation probabilistic-models python statistical-modeling supervised-learning

Last synced: 19 Aug 2025

https://github.com/sabdikay/markov-chain-text-generator

This project is a Markov Chain-based text generator implemented in Python. It processes a given text file to build a probabilistic model of word sequences, allowing it to generate new, coherent text that mimics the style and structure of the input.

graph-theory machine-learning-basics markov-chain natural-language-processing probabilistic-models python text-generator word-prediction