A package to analyze any kind of light curve/time series, e.g. with Bayesian Blocks, flare fitting (HOP), and a stochastic processe

Script for binning light curves via bayesian blocks method

NSB simulation for IACTs

Calculate sensitivity curves and observation times for variable high-energy astrophysical sources

Gaussian Splatting in pure Julia

Emmanoulopoulos style lightcurve simulation

Python3 implementation of artificial lightcurve generation as proposed by Emmanoulopoulos et al (https://arxiv.org/pdf/1305.0304.pdf)

A python interface to the Fermi Light Curve Repository

Jupyter notebooks in the terminal

Astronomy and astrophysics core library

Model manipulation and fitting library based on TensorFlow and optimised for simple and direct manipulation of probability density functions. Its main focus is on scalability, parallelisation and u…

HEP statistics tools and utilities.

Command-line interface to PyPI Stats API to get download stats for Python packages

Fast and minimalist 3D viewer.

Papercraft is a tool to unwrap 3D models.

Analysis pipeline for galactic source searches with CTA and KM3NeT

Sleeping Mac = Bluetooth off

Tools for planning astronomical observations (transit visibility, airmass plots, finding charts)

High-Performance Agent-Based Macroeconomics Made Easy

Learn about Probabilistic Time Series Forecasting, its key techniques, real-world applications, and advantages over traditional forecasting methods.

A reconstruction and analysis pipeline for VERITAS.

sbi is a Python package for simulation-based inference, designed to meet the needs of both researchers and practitioners. Whether you need fine-grained control or an easy-to-use interface, sbi has …

Lectures for INFO8010 Deep Learning, ULiège

Code for the paper "Towards Reliable Simulation-Based Inference with Balanced Neural Ratio Estimation".

Likelihood-free AMortized Posterior Estimation with PyTorch

A Python toolkit for (simulation-based) inference and the mechanization of science.