Direktori skill

Temukan skill yang dapat digunakan kembali untuk AI agents.

Cari skill GitHub nyata berdasarkan tugas lalu periksa stars, trust, audit, kategori, dan jalur pemasangan sebelum digunakan.

Setiap rekomendasi tetap terhubung dengan repositori, audit, dan jalur pemasangannya.

Hasil pencarian: encoder-decoder

Direktori bahasa Inggris

Enhanced LanceDB memory plugin for OpenClaw โ€” Hybrid Retrieval (Vector + BM25), Cross-Encoder Rerank, Multi-Scope Isolation, Management CLI

4.4K
Stars
73/100
Kepercayaan
Kategori: dataAudit

[ACL 2024 ๐Ÿ”ฅ] Video-ChatGPT is a video conversation model capable of generating meaningful conversation about videos. It combines the capabilities of LLMs with a pretrained visual encoder adapted for spatiotemporal video representation. We also introduce a rigorous 'Quantitative Evaluation Benchmarking' for video-based conversational models.

1.5K
Stars
73/100
Kepercayaan
Kategori: support-automationAudit

Hybrid RAG system combining vector search, knowledge graph (LightRAG), and cross-encoder reranking โ€” with Docling document parsing, visual intelligence (image/table captioning), agentic streaming chat, and inline citations. Powered by Gemini or local Ollama models.

317
Stars
65/100
Kepercayaan
Kategori: rag-knowledgeAudit

Multilingual TTS model with voice cloning and duration control, based on T5Gemma encoder-decoder LLM

308
Stars
69/100
Kepercayaan
Kategori: media-automationAudit

A collection of seven Claude Code skills for job hunting that emphasize honest, fact-based CV optimization, STAR stories, cover letters, mock interviews, and more.

17
Stars
66/100
Kepercayaan
Kategori: productivityAudit

A cross-platform High-performance FFmpeg based Real-time Video Frames Decoder in Pure Python ๐ŸŽž๏ธโšก

223
Stars
68/100
Kepercayaan
Kategori: robotics-iotAudit

Production-grade RAG API built in Rust. Hybrid search with HNSW dense vectors and BM25 sparse matching, cross-encoder reranking, layout-aware document extraction via Docling, and 94.5% accuracy on Open RAG Bench. Powered by Cerebras, Groq, Milvus, and Jina AI.

196
Stars
63/100
Kepercayaan
Kategori: document-processingAudit

Connectionist Temporal Classification (CTC) decoder with dictionary and language model.

577
Stars
70/100
Kepercayaan
Kategori: media-automationAudit

[CVPR 2016] Unsupervised Feature Learning by Image Inpainting using GANs

907
Stars
59/100
Kepercayaan
Kategori: robotics-iotAudit

Fast native networking primitives for React Native built on Nitro Modules โ€” react-native-nitro-fetch, react-native-nitro-websockets, and react-native-nitro-text-decoder. Covers the fetch API, global replacement, prefetching and cold-start cache warming, the NitroWebSocket class and pre-warming, migrating from React Native's built-in WebSocket, the in-process NetworkInspector, native Perfetto / Instruments tracing, the native TextDecoder, and plugging nitro-fetch into axios via a custom adapter.

161
Stars
68/100
Kepercayaan
Kategori: researchAudit

LEDNet: A Lightweight Encoder-Decoder Network for Real-time Semantic Segmentation

522
Stars
64/100
Kepercayaan
Kategori: robotics-iotAudit