mgrankin / fast_tabnet
TabNet for fastai
☆124Updated this week
Alternatives and similar repositories for fast_tabnet:
Users that are interested in fast_tabnet are comparing it to the libraries listed below
- Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"☆62Updated 2 years ago
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆41Updated last year
- Time Series package for fastai v2☆95Updated 2 years ago
- fastai V2 implementation of Timeseries classification papers.☆241Updated 2 years ago
- ☆20Updated 5 years ago
- A Tensorflow 2.0 implementation of TabNet.☆242Updated last year
- Learn Pyro through the M5 forecasting competition☆84Updated 5 years ago
- Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.☆118Updated 3 years ago
- A way to use N-Beats in fastai for sequence data☆59Updated 2 years ago
- A list of extensions for the fastai library.☆160Updated 4 years ago
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated last year
- A presention of core concepts and a data generator making easier using tabular data with TensorFlow and Keras☆44Updated 2 years ago
- A collection of inference modules for fastai2☆90Updated 2 years ago
- Scikit-learn compatible implementation of the Gauss Rank scaling method☆73Updated last year
- ☆167Updated 4 years ago
- Benchmarking different approaches for categorical encoding for tabular data☆172Updated 2 years ago
- Improved TabNet for TensorFlow☆52Updated 2 years ago
- Batch shap calculations.☆30Updated 2 years ago
- ☆129Updated 2 years ago
- A python script for a PyTorch feed forward neural network for tabular data using categorical embeddings.☆67Updated 5 years ago
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆486Updated 4 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆66Updated last year
- Measure and visualize machine learning model performance without the usual boilerplate.☆97Updated 7 months ago
- An extension of CatBoost to probabilistic modelling☆142Updated last year
- Wrap-up to automatically tune xgboost in Python.☆80Updated 3 years ago
- Developing and integrating methods for fastai2 tabular with other datatypes☆26Updated 2 years ago
- Benchmark tabular Deep Learning models against each other and other non-DL techniques☆55Updated 3 years ago
- Hierarchical Time Series Forecasting with a familiar API☆224Updated last year
- ☆347Updated 4 years ago
- Research repo for code that may or may not end up in fastai3☆50Updated 3 years ago