mnist1d
rtdl-revisiting-models
| mnist1d | rtdl-revisiting-models | |
|---|---|---|
| 1 | 1 | |
| 140 | 156 | |
| - | 4.5% | |
| 6.3 | 0.0 | |
| about 1 month ago | 5 months ago | |
| Jupyter Notebook | Python | |
| Apache License 2.0 | Apache License 2.0 |
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mnist1d
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[Discussion] Educative dataset for students
My teacher gave us Mnist1d. It's synthetic, but allows for different approaches and demonstrations of different phenomena. Can even be used for introducing convolutional layers, albeit one-dimensional.
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
What are some alternatives?
nn - 🧑🏫 60 Implementations/tutorials of deep learning papers with side-by-side notes 📝; including transformers (original, xl, switch, feedback, vit, ...), optimizers (adam, adabelief, sophia, ...), gans(cyclegan, stylegan2, ...), 🎮 reinforcement learning (ppo, dqn), capsnet, distillation, ... 🧠
rtdl-num-embeddings - (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning
datasets - 🎁 5,400,000+ Unsplash images made available for research and machine learning
rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]
goodreads - code samples for the goodreads datasets
Watermark-Removal-Pytorch - 🔥 CNN for Watermark Removal using Deep Image Prior with Pytorch 🔥.
hyperlearn - 2-2000x faster ML algos, 50% less memory usage, works on all hardware - new and old.
lava-dl - Deep Learning library for Lava
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).
threat-research-and-intelligence - BlackBerry Threat Research & Intelligence