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.
☆94Mar 17, 2024Updated 2 years ago
Alternatives and similar repositories for pytorch-scarf
Users that are interested in pytorch-scarf are comparing it to the libraries listed below. We may earn a commission when you buy through links labeled 'Ad' on this page.
Sorting:
- 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)☆212Apr 13, 2026Updated last month
- The official implementation of the paper, "SubTab: Subsetting Features of Tabular Data for Self-Supervised Representation Learning"☆149Jul 1, 2022Updated 3 years ago
- Codebase for VIME: Extending the Success of Self- and Semi-supervised Learning to Tabular Domain - NeurIPS 2020☆156Oct 26, 2020Updated 5 years ago
- ☆10Oct 14, 2020Updated 5 years ago
- Bare Metal GPUs on DigitalOcean Gradient AI • AdPurpose-built for serious AI teams training foundational models, running large-scale inference, and pushing the boundaries of what's possible.
- Official PyTorch implementation of STUNT: Few-shot Tabular Learning with Self-generated Tasks from Unlabeled Tables (ICLR 2023 Spotlight)…☆60Mar 25, 2023Updated 3 years ago
- Code for "TabZilla: When Do Neural Nets Outperform Boosted Trees on Tabular Data?"☆181Mar 22, 2024Updated 2 years ago
- A benchmark for distribution shift in tabular data☆66Jun 6, 2024Updated last year
- Code repository for the 2023 MICCAI Paper "TabAttention: Learning Attention Conditionally on Tabular Data"☆18Oct 30, 2023Updated 2 years ago
- ☆51Aug 11, 2024Updated last year
- The official PyTorch implementation of recent paper - SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive …☆465Dec 6, 2021Updated 4 years ago
- ☆11Dec 23, 2018Updated 7 years ago
- Unofficial Pytorch implementation of SAINT: Improved Neural Networks for Tabular Data via Row Attention and Contrastive Pretraining https…☆30Nov 20, 2023Updated 2 years ago
- ☆56Jan 10, 2023Updated 3 years ago
- Serverless GPU API endpoints on Runpod - Get Bonus Credits • AdSkip the infrastructure headaches. Auto-scaling, pay-as-you-go, no-ops approach lets you focus on innovating your application.
- A pytorch implementation of "SuperTML: Two-Dimensional Word Embedding for the Precognition on Structured Tabular Data"☆29Jul 23, 2019Updated 6 years ago
- ☆22Nov 21, 2021Updated 4 years ago
- An introduction talk about metric learning☆24Oct 28, 2021Updated 4 years ago
- A repo for transfer learning with deep tabular models☆103Feb 15, 2023Updated 3 years ago
- ☆26Jul 30, 2024Updated last year
- Neural Oblivious Decision Ensembles for Deep Learning on Tabular Data☆526Jan 21, 2021Updated 5 years ago
- A unified framework for Deep Learning Models on tabular data☆1,667Apr 17, 2026Updated last month
- DANets (a family of neural networks) for tabular data classification/ regression.☆49Feb 14, 2022Updated 4 years ago
- Code that accompanies the paper Semi-supervised Deep Kernel Learning: Regression with Unlabeled Data by Minimizing Predictive Variance☆76Jan 22, 2019Updated 7 years ago
- Proton VPN Special Offer - Get 70% off • AdSpecial partner offer. Trusted by over 100 million users worldwide. Tested, Approved and Recommended by Experts.
- Implementation of TabTransformer, attention network for tabular data, in Pytorch☆1,078Jan 8, 2026Updated 4 months ago
- (ICLR 2024) GRANDE: Gradient-Based Decision Tree Ensembles☆102Dec 16, 2025Updated 5 months ago
- Research on Tabular Deep Learning: Papers & Packages☆1,135Apr 17, 2026Updated last month
- ☆19May 15, 2023Updated 3 years ago
- [ICLR 2020] ”Triple Wins: Boosting Accuracy, Robustness and Efficiency Together by Enabling Input-Adaptive Inference“☆24Dec 30, 2021Updated 4 years ago
- [NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets☆90Feb 28, 2023Updated 3 years ago
- ☆14Jul 27, 2021Updated 4 years ago
- ☆15May 19, 2025Updated 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 5 months ago
- Managed Database hosting by DigitalOcean • AdPostgreSQL, MySQL, MongoDB, Kafka, Valkey, and OpenSearch available. Automatically scale up storage and focus on building your apps.
- 🧪categorical tabnet research part🧪☆13Apr 12, 2024Updated 2 years ago
- (NeurIPS 2022) On Embeddings for Numerical Features in Tabular Deep Learning☆410Apr 16, 2025Updated last year
- TTVAE: Transformer-based Generative Modelling For Tabular Data Generation☆13Oct 10, 2025Updated 7 months ago
- ☆13Apr 9, 2020Updated 6 years ago
- ☆13Jan 29, 2026Updated 3 months ago
- Python Reader for the Ultrasound File Format☆13Aug 7, 2023Updated 2 years ago
- PyTorch version of TensorFlow without a PhD☆10Feb 26, 2017Updated 9 years ago