repoGitHubTrust 82 · PrimaryPublished 1mo agoLive · 12d ago
Nixtla/mlforecast
Scalable machine 🤖 learning for time series forecasting.
Lineage graph
Paper → model → repo connections mined from source citations (Tier-1 exact match).
Why these links exist
Every edge carries a method, confidence, and the source snippet that justified it — so bad links are debuggable.
- PossiblePossibly related (embedding) · 61%Best machine learning development companies for time series forecasting (2026) - PC Tech Magazine →
- PossiblePossibly related (embedding) · 60%How Good Can Linear Models Be for Time-Series Forecasting? →
- PossiblePossibly related (embedding) · 53%GatedLinear: Adaptive Routing of Complementary Linear Bases for Time Series Forecasting →
- PossiblePossibly related (embedding) · 52%TiRex-2: Generalizing TiRex to Multivariate Data and Streaming →
- PossiblePossibly related (embedding) · 52%Self-Gating Attention for Efficient Time Series Forecasting →
- PossiblePossibly related (embedding) · 47%Dynamic rough set learning for reliable early warning in industrial time-series systems - Nature →
- PossiblePossibly related (embedding) · 45%Going Beyond Statistical Forecasts to Estimate Peak Season Demand Through Machine Learning - Supply & Demand Chain Executive →
- PossiblePossibly related (embedding) · 46%How does a 102M-parameter transformer forecast multivariate time series? →
Covers
Implements
Covers (incoming)
newsDynamic rough set learning for reliable early warning in industrial time-series systems - NaturenewsGoing Beyond Statistical Forecasts to Estimate Peak Season Demand Through Machine Learning - Supply & Demand Chain ExecutivenewsHow does a 102M-parameter transformer forecast multivariate time series?newsWorld Automotive Machine Learning - Market Analysis, Forecast, Size, Trends and Insights - IndexBox
Implements (incoming)
Related across the graph
newsBest machine learning development companies for time series forecasting (2026) - PC Tech MagazinepaperGatedLinear: Adaptive Routing of Complementary Linear Bases for Time Series ForecastingnewsGoing Beyond Statistical Forecasts to Estimate Peak Season Demand Through Machine Learning - Supply & Demand Chain ExecutivepaperTiRex-2: Generalizing TiRex to Multivariate Data and StreamingpaperLearning-based Probabilistic Load Forecasting with Post-hoc and In-model UncertaintynewsWorld Automotive Machine Learning - Market Analysis, Forecast, Size, Trends and Insights - IndexBoxnewsHow does a 102M-parameter transformer forecast multivariate time series?paperHow Good Can Linear Models Be for Time-Series Forecasting?paperSelf-Gating Attention for Efficient Time Series ForecastingnewsDynamic rough set learning for reliable early warning in industrial time-series systems - Nature