RuntianZ

autogluon

Fast and Accurate ML in 3 Lines of Code

optuna

A hyperparameter optimization framework

tabzilla

tabular-benchmark

pytorch-frame

Tabular Deep Learning Library for PyTorch

tableshift

A benchmark for distribution shift in tabular data

TabPFN

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

MolCLR

Implementation of MolCLR: "Molecular Contrastive Learning of Representations via Graph Neural Networks" in PyG.

transtab

NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables

open_clip

An open source implementation of CLIP.

datacomp

DataComp: In search of the next generation of multimodal datasets

folktables

Datasets derived from US census data

rtdl

Research on Tabular Deep Learning: Papers & Packages

saint

The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pre-Training

tabular-transfer-learning

A repo for transfer learning with deep tabular models

pytorch-scarf

Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representation of tabular data using contrastive learning. It is inspired from SimCLR and uses a similar architecture and loss.

barlowtwins

Implementation of Barlow Twins paper

barlowtwins

PyTorch implementation of Barlow Twins.

improved_wgan_training

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

vicreg

VICReg official code base

benchmarking-gnns

Repository for benchmarking graph neural networks

robustness

Corruption and Perturbation Robustness (ICLR 2019)

ProjNorm

Predicting Out-of-Distribution Error with the Projection Norm

anomaly-seg

The Combined Anomalous Object Segmentation (CAOS) Benchmark

CorEx

CorEx or "Correlation Explanation" discovers a hierarchy of informative latent factors. This reference implementation has been superseded by other versions below.

massive

Tools and Modeling Code for the MASSIVE dataset

slurp

Repository for SLURP paper

JointBERT

Pytorch implementation of JointBERT: "BERT for Joint Intent Classification and Slot Filling"

espnet

End-to-End Speech Processing Toolkit

StackPropagation-SLU

Open source code for EMNLP-19 Paper "A Stack-Propagation Framework with Token-Level Intent Detection for Spoken Language Understanding".