AI Agent Skills

Play couplet with seq2seq model. 用深度学习对对联。

[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, i…

KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019

A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.

A full attention mechanism and transformer in pure go.

基于注意力机制的少量样本故障诊断 pytorch

[ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.

Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.

[ICLR 2026🔥] MHLA: Restoring Expressivity of Linear Attention via Token-Level Multi-Head

中文长文本分类、短句子分类、多标签分类、两句子相似度（Chinese Text Classification of Keras NLP, multi-label classify, or sentence classify, long or short），字词句向量嵌入层（embeddings）和网络层（graph）构建基类，FastT…

BertViz: Visualize Attention in Transformer Models

This skill should be used for diagnosing and mitigating context degradation: lost-in-middle failures, context poisoning, context clash, context confusion, attention-patt…

This skill should be used to explain or reason about the foundational concepts of context engineering: what context is, the anatomy of a context window, how attention me…

This skill should be used when the user asks to \"share memory between agents\", \"KV cache compaction for multi-agent\", \"orchestrator worker context\", \"latent brief…

Experts.js is the easiest way to create and deploy OpenAI's Assistants and link them together as Tools to create advanced Multi AI Agent Systems with expanded memory and…

ATTENTION: This repository is a clone of https://gitlab.structr.com/structr/structr. All development/issue tracking has moved there. | Structr is an integrated open-sour…