pymc-devs / pymc
Bayesian Modeling and Probabilistic Programming in Python
pymc-devs / pymc
pyro-ppl / pyro
Deep universal probabilistic programming with Python and PyTorch
bayesian-optimization / BayesianOptimization
A Python implementation of global optimization with gaussian processes.
py-why / dowhy
DoWhy is a Python library for causal inference that supports explicit modeling and testing of causal assumptions. DoWhy is based on a unified language for causal inference, combining causal graphical models and potential outcomes frameworks.
pgmpy / pgmpy
Python Toolkit for Causal and Probabilistic Reasoning
pyro-ppl / numpyro
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
raphaelvallat / pingouin
Statistical package in Python based on Pandas
GPflow / GPflow
Gaussian processes in TensorFlow
google / vizier
Python-based research interface for blackbox and hyperparameter optimization, based on the internal Google Vizier Service.
google / uncertainty-baselines
High-quality implementations of standard and SOTA methods on a variety of tasks.
gempy-project / gempy
GemPy is an open-source, Python-based 3-D structural geological modeling software, which allows the implicit (i.e. automatic) creation of complex geological models from interface and orientation data. It also offers support for stochastic modeling to address parameter and model uncertainties.
bambinos / bambi
BAyesian Model-Building Interface (Bambi) in Python.
pymc-labs / pymc-marketing
Bayesian marketing toolbox in PyMC. Media Mix (MMM), customer lifetime value (CLV), buy-till-you-die (BTYD) models and more.
automl / SMAC3
SMAC3: A Versatile Bayesian Optimization Package for Hyperparameter Optimization
blackjax-devs / blackjax
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
sbi-dev / sbi
sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has you covered.
bayesflow-org / bayesflow
A Python library for simulation-based inference with deep learning
hildensia / bayesian_changepoint_detection
Methods to get the probability of a changepoint in a time series.
QuantClimate / GPJax
Gaussian processes in JAX and Equinox.
pymc-devs / pytensor
PyTensor allows you to define, optimize, and efficiently evaluate mathematical expressions involving multi-dimensional arrays.
aleximmer / Laplace
Laplace approximations for Deep Learning.
OpSafari / hypoarena
Scientific hypothesis-discovery workbench: grounded hypothesis-evidence graphs, synthetic literature with planted causal chains, generate-debate-evolve loops over pluggable offline adapters, Elo tournaments recovering planted skill order, paraphrase dedup, Bayesian evidence accumulation, reproducible reports. NumPy core, CPU-only torch extra.
emdgroup / baybe
Bayesian Optimization and Design of Experiments
nchopin / particles
Sequential Monte Carlo in python
SeasonCake / bidking-inference
BidKing product source, self-hostable service components, and a standalone discrete-inference toolkit. MIT-licensed first-party code.
Krishita17 / PhantomTap
A Flipper Zero that stops guessing and starts reasoning: ML-guided RFID/NFC fuzzing & access-control auditing that turns raw card reads into a prioritized, explainable security assessment. Defensive-use only.