PyCBC-Tutorials
indaba-pracs-2022
| PyCBC-Tutorials | indaba-pracs-2022 | |
|---|---|---|
| 2 | 1 | |
| 107 | 172 | |
| 0.9% | 0.6% | |
| 3.4 | 0.0 | |
| 11 months ago | about 1 month ago | |
| Jupyter Notebook | Jupyter Notebook | |
| - | Apache License 2.0 |
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PyCBC-Tutorials
- How can we use PSD for inverse spectrum truncation?
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[GWpy] How do you know what time an event is occurring from a frequency plot?
If you want to get a sense for a signal is actually detected and at what time it occurs, I'd suggest taking a look at PyCBC and the tutorials there. https://github.com/gwastro/PyCBC-Tutorials In particular the following you may find useful, but you may find the others helpful as well. https://colab.research.google.com/github/gwastro/pycbc-tutorials/blob/master/tutorial/3\_WaveformMatchedFilter.ipynb
indaba-pracs-2022
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From Deep Learning Foundations to Stable Diffusion
This year's Deep Learning Indaba had a tutorial on diffusion models in Jax: https://github.com/deep-learning-indaba/indaba-pracs-2022/tr...
What are some alternatives?
pycbc - Core package to analyze gravitational-wave data, find signals, and study their parameters. This package was used in the first direct detection of gravitational waves (GW150914), and is used in the ongoing analysis of LIGO/Virgo data.
neural-tangents - Fast and Easy Infinite Neural Networks in Python
pythoncode-tutorials - The Python Code Tutorials
jaxrl - JAX (Flax) implementation of algorithms for Deep Reinforcement Learning with continuous action spaces.
bigpython - Source code for Big Python tutorials on YouTube
pymc-resources - PyMC educational resources
stingray - Anything can happen in the next half hour (including spectral timing made easy)!
bodywork-pymc3-project - Serving Uncertainty with Bayesian inference, using PyMC3 with Bodywork
3-ogc - Third Open Gravitational-wave Catalog of Compact Binary Mergers. Using the data from LIGO and Virgo from 2015-2019, a comprehensive catalog including 57 detected mergers (55 BBH, 2 BNS) and sub-threshold candidates throughout O1, O2, and O3a.
brax - Massively parallel rigidbody physics simulation on accelerator hardware.
uawardata - The data behind uawardata.com
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠