TabPFN

Tabular predictor

A neural network implementation for tabular data prediction with internal feature and class preprocessing.

Official implementation of the TabPFN paper (https://arxiv.org/abs/2207.01848) and the tabpfn package.

GitHub

1k stars
16 watching
109 forks
Language: Python
last commit: 29 days ago

Related projects:

Repository Description Stars
chemprop/chemprop A software framework for machine learning of chemical property prediction using message passing neural networks 1,786
manujosephv/pytorch_tabular A deep learning framework specifically designed for tabular data, providing a standardized approach to modeling and deploying complex machine learning models. 1,382
anthony-wang/crabnet A deep learning framework for predicting material properties from composition information. 92
christophm/rulefit An algorithm implementation for rule-based prediction using gradient boosting and L1 regularization. 411
bjoux2/deepdtis_dbn A Python framework for deep learning-based drug-target interaction prediction using a DBN architecture. 48
atomistic-machine-learning/dtnn An open-source Python framework for developing machine learning models to predict quantum-mechanical observables of molecular systems. 77
fernandezfran/galpynostatic Predicts optimal conditions for fast-charging lithium-ion batteries using physics-based and data-driven models 8
paularindam/chemixnet A deep learning framework for predicting chemical properties using mixed neural architectures and multiple molecular representations 1
poio-nlp/pressagio A Python library that uses n-gram models to predict text completions 19
nvidia-merlin/nvtabular A library that provides a high-level abstraction for feature engineering and preprocessing of tabular data to accelerate deep learning recommender systems on GPUs. 1,049
automl/hpbandster A distributed framework for optimizing hyperparameters in machine learning models 611
microprediction/timemachines Provides a simple and unified interface to various univariate time-series prediction algorithms 405
microsoft/aurora A framework for predicting atmospheric variables using machine learning 241
denissimon/prediction-builder A PHP library that builds predictions using linear regression. 111
benedekrozemberczki/appnp A PyTorch implementation of a graph neural network model that learns personalized node representations 363