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The Stan Math Library is a C++ template library for automatic differentiation of any order using forward, reverse, and mixed modes. It includes a range of built-in functions for probabilistic modeling, linear algebra, and equation solving.
Bayesian Modeling and Probabilistic Programming in Python
Python Toolkit for Causal and Probabilistic Reasoning
A library for probabilistic programming in Haskell.
A Modern Probabilistic Model Checker
JS implementation of probabilistic data structures: Bloom Filter (and its derived), HyperLogLog, Count-Min Sketch, Top-K and MinHash
Deep universal probabilistic programming with Python and PyTorch
Probabilistic reasoning and statistical analysis in TensorFlow
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Xor filters - efficient probabilistic hashsets. Faster and smaller than bloom and cuckoo filters.
A Python package for probabilistic state space modeling with JAX
Probabilistic Hierarchical forecasting 👑 with statistical and econometric methods.
Bohor is an advanced system for extracting and analyzing metrical patterns (taf'ilat) in classical Arabic poetry. Combining traditional resources with advanced probabilistic modeling, it offers a strong framework for understanding and generating poetic structures.
Deterministic safety solutions for probabilistic AI agents
Official research code for GlucoFlow: few-step multimodal probabilistic glucose forecasting.