Graphs4Sci VS pythoncode-tutorials

Compare Graphs4Sci vs pythoncode-tutorials and see what are their differences.

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Graphs4Sci pythoncode-tutorials
1 1
42 2,003
- -
0.0 8.1
over 1 year ago 4 days ago
Jupyter Notebook Jupyter Notebook
MIT License 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.

Graphs4Sci

Posts with mentions or reviews of Graphs4Sci. We have used some of these posts to build our list of alternatives and similar projects.

pythoncode-tutorials

Posts with mentions or reviews of pythoncode-tutorials. We have used some of these posts to build our list of alternatives and similar projects. The last one was on 2021-02-12.

What are some alternatives?

When comparing Graphs4Sci and pythoncode-tutorials you can also consider the following projects:

lmsoc - Code for reproducing our paper: LMSOC: An Approach for Socially Sensitive Pretraining

violent-python3 - Source code for the book "Violent Python" by TJ O'Connor. The code has been fully converted to Python 3, reformatted to comply with PEP8 standards and refactored to eliminate dependency issues involving the implementation of deprecated libraries.

egsis - EGSIS: Exploratory Graph-based Semi-supervised Image Segmentation

borb-google-colab-examples - This repository contains some examples of using borb in google colab. These examples enable you to try out the features of borb without installing it on your system. They also ensure the system requirements and imports are all taken care of.

60-Days-of-Data-Science-and-ML - 60 Days of Data Science and ML

flytesnacks - Flyte Documentation 📖

TradingGym - Trading Gym is an open source project for the development of reinforcement learning algorithms in the context of trading.

PyCBC-Tutorials - Learn how to use PyCBC to analyze gravitational-wave data and do parameter inference.

konfuzio-sdk - OCR, extract and classify documents. In addition, annotate documents and build your own NLP and Computer Vision models using Python by downloading the data. Find examples in our Colab Notebooks, e. g. how to fine-tune Flair.

Advertisement-Recommendation - Video Content-Based Advertisement Recommendation Using Text Classification

FlowMeter - ⭐ ⭐ Use ML to classify flows and packets as benign or malicious. ⭐ ⭐