Bayesian Modeling and Probabilistic Programming in Python
#计算机科学#Deep universal probabilistic programming with Python and PyTorch
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
#计算机科学#A probabilistic programming library for Bayesian deep learning, generative models, based on Tensorflow
#计算机科学#A Python package for Bayesian forecasting with object-oriented design and probabilistic models under the hood.
A neurosymbolic perspective on LLMs
#计算机科学#High-quality implementations of standard and SOTA methods on a variety of tasks.
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
#计算机科学#BayesDB on SQLite. A Bayesian database table for querying the probable implications of data as easily as SQL databases query the data itself.
#计算机科学#PyStan, the Python interface to Stan
#计算机科学#Gaussian processes in JAX and Flax.
#计算机科学#Lightwood is Legos for Machine Learning.
ProbLog is a Probabilistic Logic Programming Language for logic programs with probabilities.
Express & compile probabilistic programs for performant inference on CPU & GPU. Powered by JAX.
Oryx is a library for probabilistic programming and deep learning built on top of Jax.
#计算机科学#Functional tensors for probabilistic programming
Probabilistic Programming and Nested sampling in JAX
Probabilistic programming framework that facilitates objective model selection for time-varying parameter models.
Probabilistic programming with large language models
Probabilistic data structures in python http://pyprobables.readthedocs.io/en/latest/index.html