SageAttention
thu-ml
[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, i…
OPENAGENTSKILL / DIRECTORY
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Results: 27
thu-ml
[ICLR2025, ICML2025, NeurIPS2025 Spotlight] Quantized Attention achieves speedup of 2-5x compared to FlashAttention, without losing end-to-end metrics across language, i…
xiangwang1223
KGAT: Knowledge Graph Attention Network for Recommendation, KDD2019
emedvedev
A Tensorflow model for text recognition (CNN + seq2seq with visual attention) available as a Python package and compatible with Google Cloud ML Engine.
takara-ai
A full attention mechanism and transformer in pure go.
liguge
基于注意力机制的少量样本故障诊断 pytorch
thu-ml
[ICML2025] SpargeAttention: A training-free sparse attention that accelerates any model inference.
pprp
Replication of simple CV Projects including attention, classification, detection, keypoint detection, etc.
obss
Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
yongzhuo
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…
muratcankoylan
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…
muratcankoylan
This skill should be used for diagnosing and mitigating context degradation: lost-in-middle failures, context poisoning, context clash, context confusion, attention-patt…
muratcankoylan
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…
clshortfuse
RenoDX workflow for creating readable analysis graphs and plots from shader math, CSVs, EXRs, LUTs, hue sweeps, tone curves, gamut comparisons, energy/scalar maps, and t…
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