rtdl-num-embeddings
Papers-in-100-Lines-of-Code
rtdl-num-embeddings | Papers-in-100-Lines-of-Code | |
---|---|---|
2 | 3 | |
260 | 594 | |
8.1% | - | |
5.3 | 5.4 | |
5 months ago | 18 days ago | |
Python | Python | |
MIT License | MIT License |
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
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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-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
Papers-in-100-Lines-of-Code
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How do I run this code from Papers in 100 lines of code?
I wanted to try the some code written by Maxime Vandegar https://github.com/MaximeVandegar/Papers-in-100-Lines-of-Code/tree/main/KiloNeRF_Speeding_up_Neural_Radiance_Fields_with_Thousands_of_Tiny_MLPs
- [P] Implementation of research papers (GANs, VAEs, 3d reconstruction, ...) in 100 lines of PyTorch code
- [P] Papers-in-100-Lines-of-Code: Implementation of research papers (GANs, VAEs, Meta-learning, 3d reconstruction, ...) in 100 lines of PyTorch code.
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