A software package for end-to-end modelling, fitting, and interpretation of electromagnetic transients via Bayesian Inference
transients 开源项目推荐(70 个)
transients 话题在 GitHub 上没有填写简介,这里按 Star 数汇总最相关的热门仓库。
热门项目 前 20
按 Star 数排序展示前 20 个 · GitHub 共 70 个仓库Modular Open Source Fitter for Transients
High-performance C++ framework for afterglow modeling with Python bindings. Features fast multi-wavelength light curve generation, MCMC parameter inference, and advanced physics models including shock dynamics, radiation mechanisms, and structured jets. Designed for computational efficiency and scientific workflow integration.
深度学习用于超新星自动光谱分类
Simple clap rhythm detection on Raspberry Pi using Csound and Python. Toy example.
Astronomical data platform for the Zwicky Transient Facility.
MATTRANS - A MATLAB(R)/Simulink Power System Transient Stability Simulation Package
Object-oriented software for the multi-physics simulations of Superconducting cables.
Python Source Extractor
A PSR-16 wrapper for WP transients
Pipeline for real-time fast transient detection in radio interferometric data (see also https://github.com/realfastvla/rfpipe)
Open, versioned taxonomy for astronomical time-series sources
This plugin allows you to flush WordPress transients, plain and simple.
Fast radio interferometric transient search pipeline
HostPhot: global and local photometry of galaxies hosting supernovae or other transients
This repository holds the code of the Radio Transient detection pipeline for the VAST project.
Python Scripts for Data Reduction and Analysis
MeerLICHT Classification of Real And Bogus using deep learning
Python script to perform Monte Carlo simulations of electron scattering events in interacting supernovae.
Deep Learning of Supernova Ia Parameters
关于这个话题
- 清单取自 GitHub 话题页并按 Star 数排序,每次展示前 20 个项目;原始页面见 https://github.com/topics/transients。
- 该话题在 GitHub 上共有 70 个仓库, 本站收录的是其中最热门的 20 个,不是全量列表。
- Star / Fork 每日自动刷新一次,实时数据以 GitHub 为准。
- 当前 20 个项目累计 462 Star,覆盖 5 种主要语言,数据更新于 2026-11-08。
- 中文介绍来自 GitHub 官方话题说明(github/explore)的机器翻译,可点「查看原文」对照;译文缺失时会先展示原文。