Annuaire de skills

Découvrez des skills réutilisables pour les AI agents.

Recherchez de vrais skills GitHub par tâche et vérifiez Stars, confiance, audit, catégorie et chemin d’installation avant de les utiliser.

Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.

Résultats de recherche: encoder-decoder

Annuaire en anglais

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

4.4K
Stars
73/100
Confiance
Catégorie: dataAudit

[ACL 2024 🔥] 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
Confiance
Catégorie: support-automationAudit

Hybrid RAG system combining vector search, knowledge graph (LightRAG), and cross-encoder reranking — 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
Confiance
Catégorie: rag-knowledgeAudit

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

308
Stars
69/100
Confiance
Catégorie: 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
Confiance
Catégorie: productivityAudit

A cross-platform High-performance FFmpeg based Real-time Video Frames Decoder in Pure Python 🎞️⚡

223
Stars
68/100
Confiance
Catégorie: 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
Confiance
Catégorie: document-processingAudit

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

577
Stars
70/100
Confiance
Catégorie: media-automationAudit

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

907
Stars
59/100
Confiance
Catégorie: robotics-iotAudit

Fast native networking primitives for React Native built on Nitro Modules — 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
Confiance
Catégorie: researchAudit

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

522
Stars
64/100
Confiance
Catégorie: robotics-iotAudit