Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.
☆151Sep 4, 2026Updated last month
Alternatives and similar repositories for PyCBC-Tutorials
Users that are interested in PyCBC-Tutorials are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct dete…☆393Updated this week
- Software tutorials for GW Open Data Workshop #3☆20Dec 27, 2020Updated 5 years ago
- Code and documentation for the first machine learning focused mock data challenge hosted by the Albert-Einstein-Institut Hannover and the…☆45Sep 23, 2022Updated 4 years ago
- A Fisher information matrix python package for GW detector networks.☆53Jul 9, 2025Updated last year
- Defining eccentricity for GW astronomy☆25Sep 10, 2026Updated last month
- AI Agents on DigitalOcean Gradient AI Platform • AdBuild production-ready AI agents using customizable tools or access multiple LLMs through a single endpoint. Create custom knowledge bases or connect external data.
- Second Open Gravitational-wave Catalog of Compact Binary Mergers. Parameter estimates for O1 and O2 mergers. Sub-threshold BNS/NSBH/BBH c…☆11Jun 19, 2021Updated 5 years ago
- A deep learning-based surrogate model for generating gravitational waveforms.☆12Apr 9, 2025Updated last year
- Repository for the PyCBC Inference workshop in Portsmouth, UK, 14 May - 16 May 2019.☆13Jun 2, 2020Updated 6 years ago
- An easy to use interface to gravitational wave surrogate models☆46Sep 22, 2026Updated last month
- Neural network model for gravitational wave sky localization☆12Feb 29, 2024Updated 2 years ago
- Likelihood-Free Inference for Gravitational Waves☆43Sep 6, 2021Updated 5 years ago
- Codes to reproduce results in the paper☆10Apr 9, 2021Updated 5 years ago
- Using GPU to compute LISA response to gravitational waves in millisecond scale.☆39Jul 13, 2026Updated 3 months ago
- ☆11Feb 9, 2024Updated 2 years ago
- Managed Kubernetes at scale on DigitalOcean • AdDigitalOcean Kubernetes includes the control plane, bandwidth allowance, container registry, automatic updates, and more for free.
- Analysis code for the research paper "Convolutional neural networks: a magic bullet for gravitational-wave detection?"☆38Jul 30, 2024Updated 2 years ago
- Gravitational wave observing scenarios simulations☆10Oct 26, 2026Updated last week
- ☆39Jul 6, 2023Updated 3 years ago
- Blazingly fast EMRI waveforms☆85Updated this week
- Tutorials and tools for the LATW Workshop☆48Oct 25, 2026Updated last week
- Gravitational wave detection in real noise timeseries using deep residual neural networks☆35Feb 19, 2025Updated last year
- ☆13Mar 14, 2025Updated last year
- A unified framework for stochastic sampling packages and gravitational-wave inference in Python.☆130Updated this week
- Combining gravitational wave harmonics for efficient evaluation of likelihood☆30Oct 13, 2026Updated 3 weeks ago
- Deploy on Railway without the complexity - Free Credits Offer • AdConnect your repo and Railway handles the rest with instant previews. Quickly provision container image services, databases, and storage volumes.
- Bayesian Jenaer software☆25May 5, 2026Updated 5 months ago
- ☆35Updated this week
- Use PyCBC / LALSuite to generate synthetic gravitational-wave data (e.g., for machine learning endeavors).☆49Apr 29, 2024Updated 2 years ago
- 武汉大学引力波天文学课程材料☆17Dec 9, 2021Updated 4 years ago
- ☆28Oct 23, 2026Updated last week
- A code for simulating gravitational waves and evaluating their detectability.☆28Jun 27, 2025Updated last year
- The python code for creating the transfer function, sensitivity curve and PI curve in 1901.09624☆11Aug 30, 2021Updated 5 years ago
- Normalising flows implemented using nflows☆27Oct 22, 2026Updated last week
- CPU/GPU agnostic gravitational-wave population inference☆62Oct 23, 2026Updated last week
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- Gravitational Wave Data Exploration: A Practical Training in Programming and Analysis☆143Nov 12, 2025Updated 11 months ago
- A Mathematica package for generating gravitational waveforms for nonspinning eccentric binary black hole mergers☆16Apr 27, 2018Updated 8 years ago
- Code for our paper: Improved deep learning techniques in gravitational-wave data analysis.☆12Apr 16, 2021Updated 5 years ago
- The demo for the class of Bayesian Inference for GW in the GWData Bootcamp☆12Jan 12, 2024Updated 2 years ago
- Dingo: Deep inference for gravitational-wave observations☆131Oct 28, 2026Updated last week
- Tutorials for GW Open Data Workshop, 2023☆41Feb 19, 2024Updated 2 years ago
- ☆16Oct 25, 2026Updated last week