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

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

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

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

907
Stars
59/100
Kepercayaan
Kategori: robotics-iotAudit

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

522
Stars
64/100
Kepercayaan
Kategori: robotics-iotAudit

This repository implements the the encoder and decoder model with attention model for OCR

358
Stars
59/100
Kepercayaan
Kategori: document-processingAudit

Contextual Encoder-Decoder Network for Visual Saliency Prediction [Neural Networks 2020]

215
Stars
62/100
Kepercayaan
Kategori: robotics-iotAudit

PyTorch implementation of "Lagging Inference Networks and Posterior Collapse in Variational Autoencoders" (ICLR 2019)

185
Stars
62/100
Kepercayaan
Kategori: media-automationAudit