lmassaron / deep_learning_for_tabular_data
A presention of core concepts and a data generator making easier using tabular data with TensorFlow and Keras
☆42Updated 2 years ago
Alternatives and similar repositories for deep_learning_for_tabular_data:
Users that are interested in deep_learning_for_tabular_data are comparing it to the libraries listed below
- An unsupervised feature selection technique using supervised algorithms such as XGBoost☆89Updated last year
- ☆198Updated 3 weeks ago
- ☆52Updated 2 years ago
- TabNet for fastai☆123Updated this week
- Scikit-Learn compatible transformer that turns categorical variables into dense entity embeddings.☆42Updated last year
- xverse (XuniVerse) is collection of transformers for feature engineering and feature selection☆117Updated last year
- NitroFE is a Python feature engineering engine which provides a variety of modules designed to internally save past dependent values for …☆106Updated 2 years ago
- stratx is a library for A Stratification Approach to Partial Dependence for Codependent Variables☆65Updated 11 months ago
- CinnaMon is a Python library which offers a number of tools to detect, explain, and correct data drift in a machine learning system☆76Updated 2 years ago
- Python package for Gower distance☆77Updated 10 months ago
- Kaggle Pipeline for tabular data competitions☆204Updated 8 months ago
- ☆129Updated 2 years ago
- Winning Solution of Kaggle Mechanisms of Action (MoA) Prediction.☆118Updated 3 years ago
- ☆17Updated 3 years ago
- Modification of TabNet as suggested in the Medium article, "The Unreasonable Ineffectiveness of Deep Learning on Tabular Data"☆61Updated last year
- Kaggle Days Paris - Competitive GBDT Specification and Optimization Workshop☆92Updated 2 years ago
- PyImpetus is a Markov Blanket based feature subset selection algorithm that considers features both separately and together as a group in…☆133Updated 3 weeks ago
- Applied Machine Learning with Python☆78Updated 11 months ago
- Phi_K correlation analyzer library☆162Updated last month
- Scikit-learn compatible implementation of the Gauss Rank scaling method☆73Updated last year
- Build tensorflow keras model pipelines in a single line of code. Now with mlflow tracking. Created by Ram Seshadri. Collaborators welcome…☆121Updated 10 months ago
- ☆97Updated 3 weeks ago
- SHAP RFE(CV)-based validation for (multiclass) linear and tree-based models.☆134Updated this week
- Machine Learning begins with Human Learning☆108Updated 3 years ago
- Example usage of scikit-hts☆57Updated 2 years ago
- A Tensorflow 2.0 implementation of TabNet.☆242Updated last year
- ACV is a python library that provides explanations for any machine learning model or data. It gives local rule-based explanations for any…☆100Updated 2 years ago
- Production repo to accompany Deep Learning with Structured Data book from Manning: https://www.manning.com/books/deep-learning-with-struc…☆72Updated 3 years ago
- Code samples for the Effective Data Science Infrastructure book☆115Updated last year
- Benchmarking different approaches for categorical encoding for tabular data☆173Updated 2 years ago