machine-learning-personal
tabnet
| machine-learning-personal | tabnet | |
|---|---|---|
| 1 | 8 | |
| 0 | 2,492 | |
| - | 1.2% | |
| 0.0 | 4.8 | |
| about 2 years ago | 3 months ago | |
| Python | ||
| - | MIT License |
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machine-learning-personal
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Tried so many different models but cant get good accuracy
The data is purely synthetic, with 14 feature columns and a target column having values 0 and 1. The training dataset has 10k rows and is of 180kB. I have uploaded the training data [here](https://github.com/pj-mathematician/machine-learning-personal/blob/main/final_train.csv).
tabnet
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Time series data into a CNN
There's architectures that operate on tabular data from a few years back now that uses CNN's and self attention. .look at tabnet for inspiration: https://github.com/dreamquark-ai/tabnet
- [P] Stable Diffusion in Tensorflow / Keras
- [D] Opinions about TabNet
- Deep Learning Models to do Regression on a Tabular Data
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Tried so many different models but cant get good accuracy
I tried some other projects like [tabnet](https://github.com/dreamquark-ai/tabnet) they are also yielding *decent* results, but not more than 0.64.
- [P] pytorch-widedeep v1.0.9: the Perceiver and the FastFormer for tabular data are now available in the library
- [D] Why Neural Networks for tabular data are bad?
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Feature Importance in Multiclass problems
Are you solving a tabular problem? If it is so, you can use TabNet to plot them. It also supports multiclass and multilabel.
What are some alternatives?
tab-transformer-pytorch - Implementation of TabTransformer, attention network for tabular data, in Pytorch
pytorch-widedeep - A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch
autogluon - Fast and Accurate ML in 3 Lines of Code
Linear-Multihead-Attention - Reproducing the Linear Multihead Attention introduced in Linformer paper (Linformer: Self-Attention with Linear Complexity)
Super-SloMo - PyTorch implementation of Super SloMo by Jiang et al.
ExtractTable-py - Python library to extract tabular data from images and scanned PDFs
torchsde - Differentiable SDE solvers with GPU support and efficient sensitivity analysis.
rtdl - Research on Tabular Deep Learning (Python package & papers) [Moved to: https://github.com/Yura52/rtdl]
WellTunedSimpleNets - [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets
neozot-py - get recommendations from arxiv based on your zotero library