We want to present Cleora – an open-source tool for creating compact representation of the behavior of your client. Cleora uses graph theory to transform streams of event data into embedding. It is suitable as an input for training models like churn, propensity and recommender systems. This is a talk useful for anyone who wishes to learn how to work with event data of clients and how to model client’s behavior.
scales from a single function to thousands of distributed tasks. syncs your local code and libraries for a faster, easier iteration loop. Edit your code and rerun your analysis without worrying about building packages or Docker images. optimizes for cost, choosing the cheapest instance types and turning them off when they’re no longer needed. Link
Are you overpaying for ip lookup service? iploka offers one of the most affordable IP to geolocation APIs and global IP database services worldwide.
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This is a curated list of tutorials, projects, libraries, videos, papers, books and anything related to the incredible PyTorch. Feel free to make a pull request to contribute to this list.
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PyGWalker can simplify your Jupyter Notebook data analysis and data visualization workflow, by turning your pandas dataframe into a Tableau-style User Interface for visual exploration.
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ChatGPT came out a few months ago and blew everyones’ minds with its ability to answer questions sourced from a broad set of knowledge. Around the time that ChatGPT was demonstrating how powerful large language models could be, the Dagster core team was facing a problem.
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