rtdl
rtdl-num-embeddings
| rtdl | rtdl-num-embeddings | |
|---|---|---|
| 2 | 2 | |
| 726 | 260 | |
| - | 8.1% | |
| 0.0 | 5.3 | |
| 5 months ago | 5 months ago | |
| Python | Python | |
| Apache License 2.0 | MIT License |
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.
rtdl
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[R] New paper on Tabular DL: "On Embeddings for Numerical Features in Tabular Deep Learning"
JFYI: recently, we have split our codebase into separate projects: - https://github.com/Yura52/rtdl - https://github.com/Yura52/tabular-dl-revisiting-models - (the new one) https://github.com/Yura52/tabular-dl-num-embeddings
rtdl-num-embeddings
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[R] New paper on Tabular DL: "On Embeddings for Numerical Features in Tabular Deep Learning"
JFYI: recently, we have split our codebase into separate projects: - https://github.com/Yura52/rtdl - https://github.com/Yura52/tabular-dl-revisiting-models - (the new one) https://github.com/Yura52/tabular-dl-num-embeddings
What are some alternatives?
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PyGame-Learning-Environment - PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]
aimm - AI Model Manager: Install a model once, and use everywhere 🤩 Users could save huge amounts of disk space 💽 For developers, less code to manage of downloading and installing models 👩🏽💻 aimodels.json is used like requirements.txt / package.json! 📝
rtdl-revisiting-models - (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data
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Papers-in-100-Lines-of-Code - Implementation of papers in 100 lines of code.
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tabular-dl-tabr - The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"
papers-with-data - A curated list of papers that released datasets along with their work