rtdl-revisiting-models
rtdl
| rtdl-revisiting-models | rtdl | |
|---|---|---|
| 1 | 2 | |
| 156 | 726 | |
| 4.5% | - | |
| 6.6 | 0.0 | |
| 6 days ago | 6 months ago | |
| Python | Python | |
| Apache License 2.0 | Apache License 2.0 |
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-revisiting-models
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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
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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?
rtdl-num-embeddings - (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
quickai - QuickAI is a Python library that makes it extremely easy to experiment with state-of-the-art Machine Learning models.
rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]
PyGame-Learning-Environment - PyGame Learning Environment (PLE) -- Reinforcement Learning Environment in Python.
Watermark-Removal-Pytorch - 🔥 CNN for Watermark Removal using Deep Image Prior with Pytorch 🔥.
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! 📝
lava-dl - Deep Learning library for Lava
neuroaid - :zap: :books: Papers and other material for getting started with Neuro-AI! :brain: :boom:
conformal_classification - Wrapper for a PyTorch classifier which allows it to output prediction sets. The sets are theoretically guaranteed to contain the true class with high probability (via conformal prediction).
thesis - MSc thesis on: Classifying brain activity using EEG and automated time tracking of computer use (using ActivityWatch)
mnist1d - A 1D analogue of the MNIST dataset for measuring spatial biases and answering Science of Deep Learning questions.
tabular-dl-tabr - The implementation of "TabR: Unlocking the Power of Retrieval-Augmented Tabular Deep Learning"