https://github.com/yandex-research/tabred

(ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks
https://github.com/yandex-research/tabred

benchmarks machine-learning research tabular-data

Last synced: about 2 months ago
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(ICLR 2025 Spotlight) TabReD: Analyzing Pitfalls and Filling the Gaps in Tabular Deep Learning Benchmarks

• Host: GitHub
• URL: https://github.com/yandex-research/tabred
• Owner: yandex-research
• License: apache-2.0
• Created: 2024-06-26T08:10:55.000Z (over 1 year ago)
• Default Branch: main
• Last Pushed: 2025-06-04T12:23:17.000Z (9 months ago)
• Last Synced: 2025-06-04T19:47:58.007Z (9 months ago)
• Topics: benchmarks, machine-learning, research, tabular-data
• Language: Python
• Homepage: https://arxiv.org/abs/2406.19380v4
• Size: 4.05 MB
• Stars: 73
• Watchers: 3
• Forks: 4
• Open Issues: 1
• Metadata Files:
  • Readme: readme.md
  • License: LICENSE

Awesome Lists containing this project

• awesome-gradient-boosting-machines - TabReD - Benchmark addressing pitfalls in tabular deep learning evaluation (Benchmarks & Comparisons / Benchmark Repositories)
• awesome-machine-learning-interpretability - yandex-research - tabred -  | "A Benchmark of Tabular Machine Learning in-the-Wild with real-world industry-grade tabular datasets." | (Technical Resources / Benchmarks)