thuml/Nonstationary_Transformers

Code release for "Non-stationary Transformers: Exploring the Stationarity in Time Series Forecasting" (NeurIPS 2022), https://arxiv.org/abs/2205.14415

556 102 +0/wk

GitHub

deep-learning forecasting non-stationary time-series

Trend 0

Star & Fork Trend (21 data points)

Stars

Forks

Multi-Source Signals

GitHub

stars 556

forks 102

Growth Velocity

thuml/Nonstationary_Transformers has +0 stars this period . Velocity data will be available after more historical data is collected.

Deep analysis is being generated for this repository.

Signal-backed technical analysis will be available soon.

Metric	Nonstationary_Transformers	keras-rcnn	MultiNet	go-deep
Stars	556	556	556	555
Forks	102	220	244	67
Weekly Growth	+0	+0	+0	+0
Language	Python	Python	Python	Go
Sources	1	1	1	1
License	MIT	NOASSERTION	MIT	MIT

Capability Radar vs keras-rcnn

Nonstationary_Transformers

keras-rcnn

Maintenance Activity 0

Last code push 598 days ago.

Community Engagement 92

Fork-to-star ratio: 18.3%. Active community forking and contributing.

Issue Burden 70

Issue data not yet available.

Growth Momentum 30

No measurable growth in the current period (first-day cold start expected).

License Clarity 95

Licensed under MIT. Permissive — safe for commercial use.

Risk scores are computed from real-time repository data. Higher scores indicate healthier metrics.