pytabular-ai / auto-scikit-dl
An automatic deep tabular learning package
☆13Updated last year
Alternatives and similar repositories for auto-scikit-dl:
Users that are interested in auto-scikit-dl are comparing it to the libraries listed below
- The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.☆54Updated 7 months ago
- ☆33Updated last year
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆169Updated last month
- NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables☆184Updated 6 months ago
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆231Updated 2 months ago
- (AAAI 2023 oral) Original implementation and experiment results of T2G-FORMER☆32Updated 10 months ago
- ☆134Updated 9 months ago
- [ICLR 2024 spotlight] Making Pre-trained Language Models Great on Tabular Prediction☆52Updated 6 months ago
- DANets (a family of neural networks) for tabular data classification/ regression.☆39Updated 2 years ago
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆143Updated 2 years ago
- An automated feature engineering framework 'FETCH' accepted in ICLR 2023.☆11Updated last year
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆150Updated 4 years ago
- (EMNLP 2023 Findings) Text2Tree: Aligning Text Representation to the Label Tree Hierarchy for Imbalanced Medical Classification.☆14Updated 10 months ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆81Updated last year
- Implementation of SCARF: Self-Supervised Contrastive Learning using Random Feature Corruption in Pytorch, a model learning a representati…☆75Updated 10 months ago
- ☆48Updated 3 years ago
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆330Updated last month
- ☆169Updated 7 months ago
- ☆64Updated last year
- Repository for the feature selection with tabular models☆62Updated last year
- Code for "NODE-GAM: Neural Generalized Additive Model for Interpretable Deep Learning"☆43Updated 2 years ago
- TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks☆61Updated 2 months ago
- C-Mixup for NeurIPS 2022☆68Updated last year
- A repo for transfer learning with deep tabular models☆100Updated last year
- Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…☆53Updated last year
- Revisiting Pretrarining Objectives for Tabular Deep Learning☆63Updated 2 years ago
- ☆197Updated 3 years ago
- Ensemble-based, size-agnostic wrapper for the TabPFN classifier☆29Updated 7 months ago
- LibAUC: A Deep Learning Library for X-Risk Optimization☆295Updated 4 months ago