Fast, accurate and scalable probabilistic data linkage with support for multiple SQL backends
A benchmark for evaluating LLMs on probabilistic social-event forecasting.
Bayesian Modeling and Probabilistic Programming in Python
A comprehensive list of pytorch related content on github,such as different models,implementations,helper libraries,tutorials etc.
A Chinese probabilistic decision model: one forward pass, straight to candidate probabilities
Implementation of Denoising Diffusion Probabilistic Model in Pytorch
Scalable and user friendly neural :brain: forecasting algorithms.
Python Toolkit for Causal and Probabilistic Reasoning
Deep universal probabilistic programming with Python and PyTorch
Probabilistic time series modeling in Python
Probabilistic reasoning and statistical analysis in TensorFlow
Natural Gradient Boosting for Probabilistic Prediction
Deep probabilistic analysis of single-cell and spatial omics data
Python library for time series forecasting using scikit-learn compatible models, statistical methods, and foundation models
Probabilistic Hierarchical forecasting π with statistical and econometric methods.
An extension of XGBoost to probabilistic modelling
An Efficient Probabilistic 3D Mapping Framework Based on Octrees. Contains the main OctoMap library, the viewer octovis, and dynamicEDT3D.
Thermodynamic Hypergraphical Model Library in JAX
BlackJAX is a Bayesian Inference library designed for ease of use, speed and modularity.
A Python package for probabilistic state space modeling with JAX
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.
Yug: a foundation model for zero-shot probabilistic time-series forecasting
Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.
Bayesian inference with probabilistic programming.
Probabilistic Datatypes Module for Redis
A neurosymbolic perspective on LLMs
The Python ensemble sampling toolkit for affine-invariant MCMC
High-quality implementations of standard and SOTA methods on a variety of tasks.
[ICASSP 2024] π΅ Matcha-TTS: A fast TTS architecture with conditional flow matching
Time-Series Work Summary in CS Top Conferences (NIPS, ICML, ICLR, KDD, AAAI, WWW, IJCAI, CIKM, ICDM, ICDE, etc.)
A simple probabilistic programming language.
Gaussian processes in JAX and Equinox.
Official research code for GlucoFlow: few-step multimodal probabilistic glucose forecasting.
Probabilistic conditionals for Ruby: Feelings(message).like?("genuinely urgent")
Go PCFG Password Generator 2026: Secure Probabilistic Wordlist Tool
Self-evolving cognitive decision engine & TypeSafe Jev alternative. Deliberative decision flywheel ('explore first, crystallize later' System 2β1) with 100% option-order invariance. Typed probabilistic API (Choice, Noul, Score) for Open LLMs, Laya (ModernBERT), & commercial Jev with calibrated logprobs and adaptive safety guards.
[WACV 2027] Semi-Dense Matching Uncertainty Is Not Just Local Confidence π―
Traditional threat modeling frameworks (like STRIDE) fail to capture the probabilistic nature of neural networks. This module explores specialized frameworks and repositories required to systematically identify and assess risks in AI systems before they reach production.
Research in progress: probabilistic electricity-demand forecasting under extreme winter weather.
Trustworthy ML, scientific open source, and probabilistic systems.
JevGym is an open-source platform designed to benchmark and facilitate better probabilistic estimation in Jev-alike models
Turn any local language model into a fast decision API with typed, probabilistic answers