TimeAugment Pack

Time series augmentation and robustness improvement toolkit

Product category: Data augmentation / Robustness

Applicable platforms: Python

Technical affiliation: Time-series Aug, Regularization

Programming language affiliation: Python

Tags: #DataAugmentation #Robustness Product

Type: Data augmentation / Robustness

TimeAugment provides realistic augmentation for time series and decision-prediction integrated projects: jitter, scaling, noise, occlusion, sliding misalignment, gaps, anomaly day replacement, adversarial perturbations, and can automatically search augmentation strategies (Policy Search). It outputs robustness evaluation kits (metric curves and coverage under different augmentations), helping R&D select models with "robustness" as the goal. For multimodal projects, it provides synchronized perturbations (unified intervention for text/image/numerical under time axis alignment), verifying cross-modality robustness. TimeAugment lets models move from "fitting history" to "adapting to future noise".

Delivery method: Instant digital download after purchase
License: Single-user commercial license
Usage limit: One-time use
Support: Technical documentation provided in the delivery file; no human technical support included