TSFLab: A Self-Improving Agent-Agnostic Workbench for Time Series Forecasting
D2I-Group · hf · 2026-11-03
D2I-Group released TSFLab on Hugging Face: a self-improving, agent-agnostic workbench that equips coding agents (Claude Code, Codex, etc.) with shared resources and tools for time series forecasting research. It tackles the high cost, poor scalability, and lack of self-maintenance of directly applying coding agents to reproduction, benchmarking, and new method development, enabling low-cost research and continuous automated upkeep of research resources.
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