Julia package for automated Bayesian inference on a factor graph with reactive message passing

InverseBench (ICLR 2025 spotlight)

Code for the paper: "Patient-Adaptive Focused Transmit Beamforming using Cognitive Ultrasound"

zea: A Toolbox for Cognitive Ultrasound Imaging

ARRUS

Ultrasound beamforming and processing in JAX.

A large-scale dataset of both raw MRI measurements and clinical MRI images.

A JAX-based research framework for differentiable and parallelizable acoustic simulations, on CPU, GPUs and TPUs

Score-Based Priors for Bayesian Inverse Imaging (ICCV 2023, TMLR 2024)

Turn SymPy expressions into trainable JAX expressions.

Probabilistic programming with NumPy powered by JAX for autograd and JIT compilation to GPU/TPU/CPU.

A Python implementation of active inference for Markov Decision Processes

Code / solutions for Mathematics for Machine Learning (MML Book)

PyTorch implementation for Score-Based Generative Modeling through Stochastic Differential Equations (ICLR 2021, Oral)

Cross-platform lib for process and system monitoring in Python

Think DSP: Digital Signal Processing in Python, by Allen B. Downey.

Basic delay-and-sum beamforming routines for demonstration purposes

Pronunciation Evaluation

A collection of scripts to set up MongoDB test environments and parse and visualize MongoDB log files.

Fast, easy and reliable testing for anything that runs in a browser.

R Wrapper for Tetrad Library

A unified interface for the estimation of causal networks

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 graphic…