Reverse Dependencies of pytorch-tabnet

The following projects have a declared dependency on pytorch-tabnet:

• alpbench — Active Learning Pipelines Benchmark
• autoprognosis — A system for automating the design of predictive modeling pipelines tailored for clinical prognosis.
• dm-utils — Data Mining Utils
• e2eml — An end-to-end solution for automl
• eeg-ml-pipeline — A Python package for EEG machine learning analysis, classification, and visualization.
• fast-tabnet — TabNet for fastai
• oracle-automlx — Automated Machine Learning with Explainability
• predictions-sepsis — Module for sepsis predictions
• pureml — no summary
• pureml-evaluate — no summary
• PVNet — PVNet
• pyoe — Investigating open environment challenges in real-world relational data streams with PyOE.
• pytorch-tabular — A standard framework for using Deep Learning for tabular data
• scparadise — Single-Cell Analysis Annotation and Modality Prediction.
• scsims — Scalable, Interpretable Deep Learning for Single-Cell RNA-seq Classification
• sickness-screening — Module for sepsis predictions
• tabensemb — A framework to ensemble model bases and evaluate various models for tabular predictions.
• tabmap — A Python package for tabular data analysis using TabMap.
• tabular-ml-toolkit — A helper library to jumpstart your machine learning project based on tabular or structured data.
• tabularbench — TabularBench: Adversarial robustness benchmark for tabular data