bigpython VS PyCBC-Tutorials

Compare bigpython vs PyCBC-Tutorials and see what are their differences.

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bigpython PyCBC-Tutorials
1 2
18 107
- 0.9%
0.0 3.4
over 2 years ago 10 months ago
Jupyter Notebook Jupyter Notebook
MIT License -
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.

bigpython

Posts with mentions or reviews of bigpython. We have used some of these posts to build our list of alternatives and similar projects.

PyCBC-Tutorials

Posts with mentions or reviews of PyCBC-Tutorials. We have used some of these posts to build our list of alternatives and similar projects.

What are some alternatives?

When comparing bigpython and PyCBC-Tutorials you can also consider the following projects:

python-tutorial - A Python 3 programming tutorial for beginners.

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.

python-awesome - Learn Python, Easy to learn, Awesome

pythoncode-tutorials - The Python Code Tutorials

TensorFlow-Examples - TensorFlow Tutorial and Examples for Beginners (support TF v1 & v2)

stingray - Anything can happen in the next half hour (including spectral timing made easy)!

Human-pose-estimation - A quick tutorial on multi-pose estimation with OpenCV, Tensorflow and MoveNet lightning.

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.

uawardata - The data behind uawardata.com

indaba-pracs-2022 - Notebooks for the Practicals at the Deep Learning Indaba 2022.

interactive_tutorials - Repository for all ArangoDB interactive tutorial notebooks.

Graph_Signal_Processing - Signal processing on graphs using torch_geometric.