artificial-self-AMLD-2020
jupyter-memgraph-tutorials
| artificial-self-AMLD-2020 | jupyter-memgraph-tutorials | |
|---|---|---|
| 1 | 4 | |
| 80 | 28 | |
| - | - | |
| 0.0 | 5.3 | |
| 11 months ago | 12 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | MIT License |
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artificial-self-AMLD-2020
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[N] Announcing the Applied Machine Learning Days 2021
Meet your Artificial Self: Generate text that sounds like you, an NLP workshop where participants downloaded their chat logs (WhatsApp, Messenger, Telegram) then fine-tuned language models on them. Ultimately participants could train chatbots that sounded (somehow) like them. Slides and Colab notebooks: https://github.com/mar-muel/artificial-self-AMLD-2020
jupyter-memgraph-tutorials
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Exploring a Twitter Network With Memgraph in a Jupyter Notebook
You will need to download this file which contains a simple dataset of scraped tweets. To import it into Memgraph, we will first need to copy it to the Docker container where Memgraph is running. Find the CONTAINER_ID by running:
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How to Use Memgraph With Python and Jupyter Notebooks
Now, I am going to show you an example of how to accomplish this. You can also take a look at this Jupyter Notebook if it's more your style.
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Importing Table Data Into a Graph Database With GQLAlchemy
Are you considering moving from table data to a graph database, but it seems like a complicated migration? With this short tutorial, we are going to show you how to do just that using GQLAlchemy. You will learn how to import table data from files stored in local or online storage to a Memgraph graph database. You can find the original Jupyter Notebook in our open-source GitHub repository.
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Temporal Graph Neural Networks With Pytorch - How to Create a Simple Recommendation Engine on an Amazon Dataset
GitHub repository
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fastpages - An easy to use blogging platform, with enhanced support for Jupyter Notebooks.
py - Repository to store sample python programs for python learning
gqlalchemy - GQLAlchemy is a library developed with the purpose of assisting in writing and running queries on Memgraph. GQLAlchemy supports high-level connection to Memgraph as well as modular query builder.
jupytemplate - Templates for jupyter notebooks