yashu-seth / pytorch-tabularLinks
A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.
☆67Updated 6 years ago
Alternatives and similar repositories for pytorch-tabular
Users that are interested in pytorch-tabular are comparing it to the libraries listed below
Sorting:
- Embed categorical variables via neural networks.☆59Updated 2 years ago
- High level utility functions for using Rapids on Kaggle Competitions☆28Updated 5 years ago
- Python utilities for Machine Learning competitions☆32Updated 8 years ago
- 13th place solution☆32Updated 2 years ago
- Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.☆123Updated 3 years ago
- fastai V2 implementation of Timeseries classification papers.☆242Updated 3 years ago
- Preparing continuous features for neural networks with GaussRank☆45Updated 8 years ago
- Measure and visualize machine learning model performance without the usual boilerplate.☆99Updated last year
- ☆20Updated 5 years ago
- Fit your tensorflow model using fastai and PyTorch☆90Updated 6 years ago
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆91Updated 2 years ago
- TabNet for fastai☆124Updated 4 months ago
- General Interpretability Package☆58Updated 3 years ago
- Winning Solution to the Kaggle Days Paris offline competition☆63Updated 6 years ago
- Ordinal Regression tutorial for the International Summer School on Deep Learning 2019☆70Updated 6 years ago
- Practical Deep Learning resources for Time series analysis and forecasting☆85Updated 4 years ago
- Code for the CHAMPS Predicting Molecular Properties Kaggle competition☆52Updated 6 years ago
- ☆193Updated 6 years ago
- A python module of handy tools and functions, mainly for ML and Kaggle☆336Updated 4 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated 2 years ago
- Jupyter Notebook presentation for class imbalance in binary classification☆48Updated 7 years ago
- An example of using a discriminator to correct for a difference in the distributions between the training and test data.☆67Updated 9 years ago
- Part of our solution to PLAsTiCC Kaggle challenge☆18Updated 7 years ago
- TF2.0 port for Augmix paper☆79Updated 5 years ago
- Developing and integrating methods for fastai2 tabular with other datatypes☆26Updated 3 years ago
- ☆43Updated 6 years ago
- ⏸ Parallelized hyper-param optimization with validation set, not crossval☆91Updated 3 years ago
- A few baselines with a standard tabular model☆38Updated 5 years ago
- Discover relevant information about categorical data with entity embeddings using Neural Networks (powered by Keras)☆70Updated 3 years ago
- Kaggle 8th place solution☆107Updated 2 years ago