KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost
Daily GitHub growth and open-source AI ranking profile for KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost.
A comprehensive time-series benchmark evaluating state-of-the-art deep learning architectures (PatchTST, TFT, N-HiTS) against traditional gradient boost...
KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost has 1314 GitHub stars, 0 forks, 8 stars gained in the last 24 hours, 48 stars gained in the last 7 days.
Repository ranking signals
- Total GitHub stars: 1314
- Forks: 0
- Stars gained in 24 hours: 8
- Stars gained in 7 days: 48
- Primary language: Python
- AI category: Model Development
- Subcategory: Dataset engineering,Domain-specific training
- Keywords: Benchmarks, Data analysis, Datasets
- Top contributors: KEV0143, alandzgoev
- Last repository update: 2026-07-03
Why this page matters
AI Rank monitors KEV0143/Comparative-analysis-of-hourly-load-forecasting-using-PatchTST-TFT-NHiTS-and-CatBoost as part of a daily open-source AI leaderboard. The page is useful for tracking GitHub momentum, category placement, language, contributors, and recent repository activity without manually checking each project.