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.
☆93Mar 17, 2024Updated last year
Alternatives and similar repositories for pytorch-scarf
Users that are interested in pytorch-scarf are comparing it to the libraries listed below
Sorting:
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆151Jul 1, 2022Updated 3 years ago
- A PyTorch Lightning-based library for self- and semi-supervised learning on tabular data.☆43Mar 2, 2025Updated last year
- A collection of research materials on SSL for non-sequential tabular data (SSL4NSTD)☆210Oct 26, 2025Updated 4 months ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆155Oct 26, 2020Updated 5 years ago
- Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…☆60Mar 25, 2023Updated 2 years ago
- NeurIPS'22 | TransTab: Learning Transferable Tabular Transformers Across Tables☆214Mar 13, 2025Updated 11 months ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆178Mar 22, 2024Updated last year
- Unofficial repo for SubTab with additional code and data for Adult Income and BlogFeedback datasets. BlogFeedback data is attached as zip…☆10Jun 24, 2022Updated 3 years ago
- ☆11Oct 14, 2020Updated 5 years ago
- A benchmark for distribution shift in tabular data☆56Jun 6, 2024Updated last year
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆461Dec 6, 2021Updated 4 years ago
- ☆11Dec 23, 2018Updated 7 years ago
- Code repository for the 2023 MICCAI Paper "TabAttention: Learning Attention Conditionally on Tabular Data"☆18Oct 30, 2023Updated 2 years ago
- Created a RNN with LSTM cells to learn patterns from SMILES Strings, and use them to generate new molecular structures.☆18Mar 18, 2019Updated 6 years ago
- Experiments on Tabular Data Models☆280May 25, 2023Updated 2 years ago
- DANets (a family of neural networks) for tabular data classification/ regression.☆48Feb 14, 2022Updated 4 years ago
- A unified framework for Deep Learning Models on tabular data☆1,637Updated this week
- Research on Tabular Deep Learning: Papers & Packages☆1,111Nov 13, 2024Updated last year
- A repo for transfer learning with deep tabular models☆104Feb 15, 2023Updated 3 years ago
- Keras implementation of temporal ensembling(semi-supervised learning)☆23Jan 12, 2019Updated 7 years ago
- C++ library for non photorealistic rendering. Includes a paint renderer based on Kubelka Munk equations, stroke based rendering algorithm…☆30Nov 22, 2020Updated 5 years ago
- The pioneering neural network surpassing extremely-tuned XGboost and Catboost on varied tabular datasets.☆68Jun 11, 2024Updated last year
- (NeurIPS 2021) Revisiting Deep Learning Models for Tabular Data☆322Nov 12, 2024Updated last year
- A learning curve benchmark on OpenML data☆33Nov 29, 2024Updated last year
- A ready-to-use framework of the state-of-the-art models for structured (tabular) data learning with PyTorch. Applications include recomme…☆81Nov 21, 2025Updated 3 months ago
- ☆12Nov 26, 2024Updated last year
- A complete instruction for training a Persian spell checker and a language model based on SymSpell and KenLM, respectively using Wikipedi…☆35Jul 20, 2022Updated 3 years ago
- http://archive.ics.uci.edu/ml/index.html☆11Jan 25, 2020Updated 6 years ago
- COMS 4111 Project 1☆12Jul 21, 2022Updated 3 years ago
- Training materials for World Bank Summer University staff training on small area estimation of poverty indicators☆17Jul 24, 2025Updated 7 months ago
- Use MobileNet SSD and openCV to detect and count car on road☆12Jan 13, 2020Updated 6 years ago
- ☆13Oct 15, 2024Updated last year
- [KBS'25]Official Implement of "PRADA: Prompt-guided Representation Alignment and Dynamic Adaption for Time Series Forecasting".☆15May 28, 2025Updated 9 months ago
- Official code for "SimPSI: A Simple Strategy to Preserve Spectral Information in Time Series Data Augmentation", AAAI 2024.☆36Jan 22, 2025Updated last year
- [KDD'24] Ofiicial implementation of paper "Generative Pretrained Hierarchical Transformer for Time Series Forecasting"☆37Jul 3, 2025Updated 8 months ago
- A flexible package for multimodal-deep-learning to combine tabular data with text and images using Wide and Deep models in Pytorch☆1,404Sep 27, 2025Updated 5 months ago
- Code for CVPR2020 paper QEBA: Query-Efficient Boundary-Based Blackbox Attack☆33Feb 21, 2021Updated 5 years ago
- CLIPfa: Connecting Farsi Text and Images☆83Dec 9, 2022Updated 3 years ago
- multi_gpu_infer 多gpu预测 multiprocessing or subprocessing☆12Mar 24, 2020Updated 5 years ago