sequence-models-comparison
CommunityPick the perfect model for sequential data, fast.
Authortachyon-beep
Version1.0.0
Installs0
System Documentation
What problem does it solve?
This Skill helps you navigate the evolving landscape of sequence models, guiding you beyond outdated LSTMs to select the optimal architecture (Transformer, TCN, Sparse Transformer, S4) for your specific sequential data (text, time series, audio). It ensures you match the model to sequence length, data volume, and latency constraints, preventing suboptimal performance.
Core Features & Use Cases
- Architecture Decision Tree: Quickly identify the best model for short, medium, long, or very long sequences.
- Data Type Specialization: Get recommendations tailored for natural language, time series, or audio processing.
- Use Case: You're building a real-time time series forecasting system. This skill advises against LSTMs and recommends TCNs for their parallel processing and faster inference, ensuring your system meets latency requirements.
Quick Start
I need to forecast a time series with 500 steps and require fast inference. What model should I use?
Dependency Matrix
Required Modules
torchtransformers
Components
Standard package💻 Claude Code Installation
Recommended: Let Claude install automatically. Simply copy and paste the text below to Claude Code.
Please help me install this Skill: Name: sequence-models-comparison Download link: https://github.com/tachyon-beep/skillpacks/archive/main.zip#sequence-models-comparison Please download this .zip file, extract it, and install it in the .claude/skills/ directory.