Stars
Code for the paper: "Patient-Adaptive Focused Transmit Beamforming using Cognitive Ultrasound"
Ultrasound beamforming and processing in JAX.
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
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.
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…
A powerful, flexible, Markdown-based authoring framework.
Fast, flexible and easy to use probabilistic modelling in Python.