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.
1k stars
16 watching
112 forks
Language: Python
last commit: about 1 year ago Related projects:
| Repository | Description | Stars |
|---|---|---|
 chemprop/chemprop | A software framework for machine learning of chemical property prediction using message passing neural networks | 1,827 |
 manujosephv/pytorch_tabular | A deep learning framework specifically designed for tabular data, providing a standardized approach to modeling and deploying complex machine learning models. | 1,404 |
 anthony-wang/crabnet | A deep learning framework for predicting material properties from composition information. | 94 |
 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. | 49 |
 atomistic-machine-learning/dtnn | An open-source Python framework for developing machine learning models to predict quantum-mechanical observables of molecular systems. | 78 |
 fernandezfran/galpynostatic | Predicts optimal conditions for fast-charging lithium-ion batteries using physics-based and data-driven models. | 9 |
 paularindam/chemixnet | A neural network architecture for predicting chemical properties using 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. | 1,057 |
| automl/hpbandster | A distributed framework for optimizing hyperparameters in machine learning models | 612 |
 microprediction/timemachines | Provides a simple and unified interface to various univariate time-series prediction algorithms | 413 |
 microsoft/aurora | An implementation of a machine learning model for predicting atmospheric variables | 267 |
 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 | 367 |