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Projects in Awesome Lists tagged with probabilistic-programming
A curated list of projects in awesome lists tagged with probabilistic-programming .
https://github.com/pymc-devs/pymc
Bayesian Modeling and Probabilistic Programming in Python
bayesian-inference mcmc probabilistic-programming pytensor python statistical-analysis variational-inference
Last synced: 16 Dec 2024
https://github.com/pyro-ppl/pyro
Deep universal probabilistic programming with Python and PyTorch
bayesian bayesian-inference deep-learning machine-learning probabilistic-modeling probabilistic-programming python pytorch variational-inference
Last synced: 16 Dec 2024
https://github.com/mxgmn/markovjunior
Probabilistic language based on pattern matching and constraint propagation, 153 examples
algorithms cellular-automata csharp gamedev language markovjunior probabilistic-programming procedural-generation voxel
Last synced: 19 Dec 2024
https://github.com/mxgmn/MarkovJunior
Probabilistic language based on pattern matching and constraint propagation, 153 examples
algorithms cellular-automata csharp gamedev language markovjunior probabilistic-programming procedural-generation voxel
Last synced: 30 Oct 2024
https://github.com/probml/pyprobml
Python code for "Probabilistic Machine learning" book by Kevin Murphy
blackjax colab flax jax jupyter-notebooks machine-learning numpyro pml probabilistic-programming pymc3 pyro pytorch tensorflow
Last synced: 17 Dec 2024
https://github.com/blei-lab/edward
A probabilistic programming language in TensorFlow. Deep generative models, variational inference.
bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow
Last synced: 19 Dec 2024
https://github.com/tensorflow/probability
Probabilistic reasoning and statistical analysis in TensorFlow
bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow
Last synced: 16 Dec 2024
https://github.com/thu-ml/zhusuan
A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
bayesian-inference deep-learning generative-models graphical-models probabilistic-programming
Last synced: 21 Dec 2024
https://github.com/pyro-ppl/numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
bayesian-inference hmc inference-algorithms jax mcmc numpy probabilistic-programming pyro
Last synced: 18 Dec 2024
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: 17 Dec 2024
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: 27 Oct 2024
https://github.com/uber/orbit
A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
arima bayesian bayesian-methods bayesian-statistics changepoint exponential-smoothing forecast forecasting machine-learning orbit probabilistic probabilistic-programming pyro pystan python pytorch regression regression-models stan time-series
Last synced: 17 Dec 2024
https://github.com/probcomp/gen.jl
A general-purpose probabilistic programming system with programmable inference
bayesian computer-vision deep-learning differentiable-programming gen julia-language machine-learning probabilistic-programming robotics
Last synced: 18 Dec 2024
https://probcomp.github.io/Gen
A general-purpose probabilistic programming system with programmable inference
bayesian computer-vision deep-learning differentiable-programming gen julia-language machine-learning probabilistic-programming robotics
Last synced: 26 Nov 2024
https://github.com/probcomp/Gen.jl
A general-purpose probabilistic programming system with programmable inference
bayesian computer-vision deep-learning differentiable-programming gen julia-language machine-learning probabilistic-programming robotics
Last synced: 27 Oct 2024
https://github.com/tylertreat/boomfilters
Probabilistic data structures for processing continuous, unbounded streams.
bloom-filter count-min-sketch counting-bloom-filters cuckoo-filter data-stream filter go probabilistic-programming scalable-bloom-filters stable-bloom-filters
Last synced: 19 Dec 2024
https://github.com/tylertreat/BoomFilters
Probabilistic data structures for processing continuous, unbounded streams.
bloom-filter count-min-sketch counting-bloom-filters cuckoo-filter data-stream filter go probabilistic-programming scalable-bloom-filters stable-bloom-filters
Last synced: 26 Oct 2024
https://github.com/google/uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow
Last synced: 18 Dec 2024
https://github.com/probcomp/bayeslite
BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
automatic-data-modeling data-science databases machine-learning probabilistic-programming
Last synced: 17 Dec 2024
https://github.com/stan-dev/pystan2
PyStan, the Python interface to Stan
machine-learning probabilistic-programming python stan statistics
Last synced: 12 Nov 2024
https://github.com/brylevkirill/notes
Learn about Machine Learning and Artificial Intelligence
artificial-intelligence bayesian-inference causal-inference deep-learning information-retrieval knowledge-graph knowledge-representation machine-learning natural-language-processing probabilistic-programming question-answering reasoning recommender-systems reinforcement-learning
Last synced: 30 Oct 2024
https://github.com/CosmicMind/Algorithm
Algorithm is a library of tools that is used to create intelligent applications.
algorithm algorithms conditional-probability cosmicmind data-structure data-structures data-structures-algorithms dictionary doublylinkedlist multidictionary multiset probabilistic-programming probability redblacktree redblacktrees set sorted-sets stack swift swift-3
Last synced: 09 Dec 2024
https://github.com/cosmicmind/algorithm
Algorithm is a library of tools that is used to create intelligent applications.
algorithm algorithms conditional-probability cosmicmind data-structure data-structures data-structures-algorithms dictionary doublylinkedlist multidictionary multiset probabilistic-programming probability redblacktree redblacktrees set sorted-sets stack swift swift-3
Last synced: 20 Dec 2024
https://github.com/blackjax-devs/blackjax
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
bayesian-inference hamiltonian-monte-carlo probabilistic-programming sampling-methods
Last synced: 02 Nov 2024
https://github.com/google/edward2
A simple probabilistic programming language.
bayesian-methods data-science deep-learning machine-learning neural-networks probabilistic-programming statistics tensorflow
Last synced: 26 Oct 2024
https://github.com/JWarmenhoven/DBDA-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
bayesian-data-analysis bayesian-inference hierarchical-models kruschke mcmc probabilistic-programming pymc3
Last synced: 26 Oct 2024
https://github.com/jwarmenhoven/dbda-python
Doing Bayesian Data Analysis, 2nd Edition (Kruschke, 2015): Python/PyMC3 code
bayesian-data-analysis bayesian-inference hierarchical-models kruschke mcmc probabilistic-programming pymc3
Last synced: 21 Dec 2024
https://github.com/probmods/webppl
Probabilistic programming for the web
javascript probabilistic-programming webppl
Last synced: 26 Oct 2024
https://github.com/JaxGaussianProcesses/GPJax
Gaussian processes in JAX.
bayesian-inference gaussian-processes jax machine-learning probabilistic-programming
Last synced: 12 Nov 2024
https://github.com/thomaspinder/GPJax
Gaussian processes in JAX.
bayesian-inference gaussian-processes jax machine-learning probabilistic-programming
Last synced: 21 Dec 2024
https://github.com/mindsdb/lightwood
Lightwood is Legos for Machine Learning.
automl encoders hacktoberfest machine-learning mindsdb ml neural-networks probabilistic-programming pytorch
Last synced: 19 Dec 2024
https://github.com/cscherrer/soss.jl
Probabilistic programming via source rewriting
bayesian-inference bayesian-statistics julia julia-language julia-library metaprogramming probabilistic-programming
Last synced: 21 Dec 2024
https://github.com/cscherrer/Soss.jl
Probabilistic programming via source rewriting
bayesian-inference bayesian-statistics julia julia-language julia-library metaprogramming probabilistic-programming
Last synced: 13 Nov 2024
https://github.com/JuliaMath/MeasureTheory.jl
"Distributions" that might not add to one.
bayesian-inference julia machine-learning probabilistic-programming probability statistics
Last synced: 31 Oct 2024
https://github.com/cscherrer/MeasureTheory.jl
"Distributions" that might not add to one.
bayesian-inference julia machine-learning probabilistic-programming probability statistics
Last synced: 14 Dec 2024
https://github.com/JuliaGaussianProcesses/Stheno.jl
Probabilistic Programming with Gaussian processes in Julia
approximate-inference bayesian-inference gaussian-processes machine-learning probabilistic-programming
Last synced: 13 Nov 2024
https://github.com/juliagaussianprocesses/stheno.jl
Probabilistic Programming with Gaussian processes in Julia
approximate-inference bayesian-inference gaussian-processes machine-learning probabilistic-programming
Last synced: 09 Nov 2024
https://github.com/storopoli/bayesian-statistics
Bayesian statistics graduate course
bayesian bayesian-statistics course julia probabilistic-programming probability stan turing
Last synced: 15 Dec 2024
https://github.com/rlouf/mcx
Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
Last synced: 21 Dec 2024
https://github.com/ML-KULeuven/problog
ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.
aproblog dtproblog lfi-problog probabilistic probabilistic-inference probabilistic-logic-programming probabilistic-programming problog prolog
Last synced: 31 Oct 2024
https://github.com/probmods/probmods2
probmods 2: electric boogaloo
cognitive-science probabilistic-programming tutorial webppl
Last synced: 26 Oct 2024
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: 17 Dec 2024
https://github.com/hexops/fastfilter
fastfilter: Binary fuse & xor filters for Zig (faster and smaller than bloom filters)
bloom-filter probabilistic-programming xor-filter zig ziglang
Last synced: 17 Dec 2024
https://github.com/ctongfei/nexus
Experimental tensor-typed deep learning
deep-learning differentiable-programming neural-network probabilistic-programming scala tensor
Last synced: 18 Nov 2024
https://github.com/pyro-ppl/funsor
Functional tensors for probabilistic programming
jax machine-learning numpy probabilistic-programming pyro pytorch symbolic
Last synced: 21 Dec 2024
https://github.com/turinglang/docs
Documentation and tutorials for the Turing language
hacktoberfest julia machine-learning probabilistic-programming turing-language
Last synced: 17 Dec 2024
https://github.com/TuringLang/docs
Documentation and tutorials for the Turing language
hacktoberfest julia machine-learning probabilistic-programming turing-language
Last synced: 21 Nov 2024
https://github.com/jax-ml/oryx
Oryx is a library for probabilistic programming and deep learning built on top of Jax.
jax probabilistic-programming python
Last synced: 18 Dec 2024
https://github.com/juliagaussianprocesses/abstractgps.jl
Abstract types and methods for Gaussian Processes.
gaussian-processes gps julia probabilistic-programming
Last synced: 15 Dec 2024
https://github.com/probcomp/PClean
A domain-specific probabilistic programming language for scalable Bayesian data cleaning
bayesian-inference data-cleaning data-cleansing probabilistic-graphical-models probabilistic-programming
Last synced: 13 Nov 2024
https://github.com/rant-lang/rant
Rant - The templating language for procedural generation.
crates language mocking probabilistic-programming procedural-generation procedural-programming procedural-text procgen programming-language rant rant-lang rant4 rust rust-crate rust-library scripting template-language templating text-generation
Last synced: 05 Nov 2024
https://github.com/turinglang/dynamicppl.jl
Implementation of domain-specific language (DSL) for dynamic probabilistic programming
hacktoberfest probabilistic-programming probability-theory
Last synced: 17 Nov 2024
https://github.com/nimble-dev/nimble
The base NIMBLE package for R
bayesian-inference bayesian-methods hierarchical-models mcmc probabilistic-programming r
Last synced: 20 Dec 2024
https://github.com/christophmark/bayesloop
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
anomaly-detection bayesian-inference model-selection probabilistic-programming time-series-analysis
Last synced: 16 Dec 2024
https://github.com/Joshuaalbert/jaxns
Probabilistic Programming and Nested sampling in JAX
Last synced: 30 Oct 2024
https://github.com/google-research/recsim_ng
RecSim NG: Toward Principled Uncertainty Modeling for Recommender Ecosystems
artificial-intelligence google probabilistic-programming recommender-system reinforcement-learning simulation tensorflow
Last synced: 10 Nov 2024
https://github.com/barrust/pyprobables
Probabilistic data structures in python http://pyprobables.readthedocs.io/en/latest/index.html
bitarray bloom-filter count-mean-min-sketch count-mean-sketch count-min-sketch counting-bloom-filter counting-cuckoo-filter cuckoo-filter data-analysis data-mining data-science data-structures datastructures heavy-hitters probabilistic-programming probability python quotient-filter stream-threshold
Last synced: 15 Dec 2024
https://github.com/alexioannides/pymc-example-project
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
bayesian-data-analysis bayesian-inference data-science machine-learning numpy pandas probabilistic-programming pymc3 python scikit-learn
Last synced: 27 Oct 2024
https://github.com/AlexIoannides/pymc-example-project
Example PyMC3 project for performing Bayesian data analysis using a probabilistic programming approach to machine learning.
bayesian-data-analysis bayesian-inference data-science machine-learning numpy pandas probabilistic-programming pymc3 python scikit-learn
Last synced: 27 Nov 2024
https://github.com/amzn/MXFusion
Modular Probabilistic Programming on MXNet
bayesian-inference machine-learning mxnet probabilistic-programming python variational-inference
Last synced: 08 Nov 2024
https://github.com/quantopian/bayesalpha
Bayesian models to compute performance and uncertainty of returns and alpha.
bayesian probabilistic-programming quantitative-finance
Last synced: 11 Nov 2024
https://github.com/mschauer/zigzagboomerang.jl
Sleek implementations of the ZigZag, Boomerang and other assorted piecewise deterministic Markov processes for Markov Chain Monte Carlo including Sticky PDMPs for variable selection
bayesian-inference boomerang bouncy-particle-sampler markov-chain-monte-carlo pdmp probabilistic-programming zigzag
Last synced: 13 Nov 2024
https://github.com/hyosubkim/bayes-toolbox
bayes-toolbox
bayesian-inference bayesian-statistics kruschke probabilistic-programming python statistics
Last synced: 12 Nov 2024
https://github.com/biaslab/ReactiveMP.jl
High-performance reactive message-passing based Bayesian inference engine
bayesian-inference inference julia message-passing probabilistic-graphical-models probabilistic-programming variational-bayes variational-inference
Last synced: 14 Nov 2024
https://github.com/ReactiveBayes/ReactiveMP.jl
High-performance reactive message-passing based Bayesian inference engine
bayesian-inference inference julia message-passing probabilistic-graphical-models probabilistic-programming variational-bayes variational-inference
Last synced: 13 Nov 2024
https://github.com/reactivebayes/reactivemp.jl
High-performance reactive message-passing based Bayesian inference engine
bayesian-inference inference julia message-passing probabilistic-graphical-models probabilistic-programming variational-bayes variational-inference
Last synced: 21 Nov 2024
https://github.com/A1arcon/R_Actuarial
El objetivo de este repositorio es brindar un apoyo a la comunidad interesada en mejorar sus tĂ©cnicas en el lenguaje de programaciĂłn R o emprenderlo desde un punto de vista muy aplicado. Un repositorio con cĂłdigos de R para aplicaciones actuariales: probabilidad, estadĂstica, riesgo y finanzas.
actuarial-science finance insurance probabilistic-programming r statistics unam
Last synced: 04 Dec 2024
https://github.com/anskarl/lomrf
LoMRF is an open-source implementation of Markov Logic Networks
graphical-models inference logic machine-learning probabilistic-programming scala
Last synced: 17 Dec 2024
https://github.com/anskarl/LoMRF
LoMRF is an open-source implementation of Markov Logic Networks
graphical-models inference logic machine-learning probabilistic-programming scala
Last synced: 18 Nov 2024
https://github.com/probsys/sppl
Probabilistic programming system for fast and exact symbolic inference
pldi probabilistic-inference probabilistic-programming programming-languages sum-product-networks
Last synced: 27 Nov 2024
https://github.com/cscherrer/tilde.jl
WIP successor to Soss.jl
bayesian-inference bayesian-statistics julia-language metaprogramming probabilistic-programming statistics
Last synced: 01 Nov 2024
https://github.com/probcomp/sppl
Probabilistic programming system for fast and exact symbolic inference
pldi probabilistic-inference probabilistic-programming programming-languages sum-product-networks
Last synced: 08 Nov 2024
https://github.com/affeldt-aist/monae
Monadic effects and equational reasonig in Coq
math-comp mathcomp monad-transformers monadic-effects monads nondeterminism probabilistic-programming ssreflect
Last synced: 20 Dec 2024
https://github.com/pingel-org/axle
Axle Domain Specific Language for Scientific Cloud Computing and Visualization
axle game-theory probabilistic-programming scala scientific-computing visualization
Last synced: 18 Nov 2024
https://github.com/eggplantbren/dnest4
Diffusive Nested Sampling
bayesian-inference markov-chain-monte-carlo nested-sampling probabilistic-programming probability
Last synced: 21 Dec 2024
https://github.com/mohd-faizy/probabilistic-deep-learning-with-tensorflow
Probabilistic Deep Learning finds its application in autonomous vehicles and medical diagnoses. This is an increasingly important area of deep learning that aims to quantify the noise and uncertainty that is often present in real-world datasets.
bernoulli-distribution binomial-distributions deep-probabilistic-models keras machine-learning multivariate-distributions poisson-distribution probabilistic-deep-learning probabilistic-layers probabilistic-programming tensorflow tensorflow-probability tensorflow2 tfp univariate-distributions
Last synced: 28 Oct 2024
https://github.com/ziatdinovmax/pyroved
Invariant representation learning from imaging and spectral data
encoder-decoder-model image-data probabilistic-programming pyro rotation-invariant scale-invariance semi-supervised-learning semi-supervised-vae spectral-data translation-invariant unsupervised-machine-learning vae variational-autoencoder
Last synced: 01 Nov 2024
https://github.com/austinrochford/webmc3
A web interface for exploring PyMC3 traces
bayesian-inference dash mcmc probabilistic-programming python statistical-analysis visualization
Last synced: 02 Nov 2024
https://github.com/barrust/count-min-sketch
Count-Min Sketch Implementation in C
c count-mean-min-sketch count-min-sketch data-structures probabilistic probabilistic-programming
Last synced: 09 Nov 2024
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: 28 Oct 2024
https://github.com/AlexIoannides/pymc-stochastic-process
Bayesian Inference and parameter estimation in quant finance.
bayesian-inference probabilistic-programming pymc3 python quantitative-finance risk-modelling stochastic-processes
Last synced: 27 Nov 2024
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: 14 Nov 2024
https://github.com/alexhallam/tablespoon
🥄✨Time-series Benchmark methods that are Simple and Probabilistic
data-science forecasting mean naive probabilistic probabilistic-programming probability python scipy seasonal-naive simple simple-models time-series uncertainty-quantification
Last synced: 07 Nov 2024
https://github.com/alexioannides/pymc-stochastic-process
Bayesian Inference and parameter estimation in quant finance.
bayesian-inference probabilistic-programming pymc3 python quantitative-finance risk-modelling stochastic-processes
Last synced: 28 Oct 2024
https://github.com/liesel-devs/liesel
A probabilistic programming framework
machine-learning probabilistic-programming python statistics
Last synced: 12 Nov 2024
https://github.com/lovasoa/bloomfilter
Simplistic (but fast) java implementation of a bloom filter.
allocation bloom-filter datastructures hashes java probabilistic-programming
Last synced: 28 Oct 2024
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: 23 Nov 2024
https://github.com/armanbilge/schrodinger
Give your cats a set of dice
cats cats-effect probabilistic-programming
Last synced: 18 Dec 2024
https://github.com/mschauer/mitosis.jl
Automatic probabilistic programming for scientific machine learning and dynamical models
graphical-models markov-processes probabilistic-programming
Last synced: 13 Nov 2024
https://github.com/kach/memo
A language for mental models
cognitive-science differentiable-programming jax probabilistic-programming python
Last synced: 19 Dec 2024
https://github.com/unbalancedparentheses/the_bayes_way
📚 The Bayes Way 🎓
bayes bayesian-statistics probabilistic-programming probability statistics
Last synced: 15 Nov 2024
https://github.com/turinglang/mcmctempering.jl
Implementations of parallel tempering algorithms to augment samplers with tempering capabilities
julia-language mcmc mcmc-sampling multimodality probabilistic-programming turing-language
Last synced: 31 Oct 2024
https://github.com/luiarthur/turingbnpbenchmarks
Benchmarks of Bayesian Nonparametric models in Turing and other PPLs
bayesian-inference bayesian-nonparametric-models benchmarks julia-language probabilistic-programming
Last synced: 17 Dec 2024
https://github.com/cslarsen/miller-rabin
The Miller-Rabin probabilistic primality test in C++ w/GMP
math prime-numbers probabilistic-programming
Last synced: 14 Nov 2024
https://github.com/turinglang/abstractppl.jl
Common types and interfaces for probabilistic programming
ppls probabilistic-programming
Last synced: 17 Nov 2024
https://github.com/JuliaRobotics/KernelDensityEstimate.jl
Kernel Density Estimate with product approximation using multiscale Gibbs sampling
bayesian gadfly inference julialang multiscale-gibbs-sampling probabilistic-programming
Last synced: 13 Nov 2024
https://github.com/juliarobotics/kerneldensityestimate.jl
Kernel Density Estimate with product approximation using multiscale Gibbs sampling
bayesian gadfly inference julialang multiscale-gibbs-sampling probabilistic-programming
Last synced: 12 Oct 2024
https://github.com/kach/designing-perceptual-puzzles-by-differentiating-probabilistic-programs
Supplementary materials for our SIGGRAPH 2022 paper
differentiable-programming probabilistic-programming siggraph
Last synced: 14 Oct 2024
https://github.com/statsim/app
StatSim. Bayesian inference and statistical simulations in the browser
bayesian-statistics electronjs graphical-programming histogram javascript modeling probabilistic-programming probability pwa simulation statistics vuejs webppl
Last synced: 11 Oct 2024
https://github.com/h0tk3y/probabilistik
Experimental probabilistic programming framework based on Kotlin coroutines
kotlin probabilistic-programming
Last synced: 27 Oct 2024
