Skill ディレクトリ

AI Agent のための再利用可能な Skill を見つける。

タスクで実際の GitHub Skill を検索し、利用前に Stars、Trust、監査、カテゴリ、インストール経路を確認できます。

すべての推奨は、リポジトリ、監査、インストール経路に明確につながっています。

DiffSinger: Singing Voice Synthesis via Shallow Diffusion Mechanism (SVS & TTS); AAAI 2022; Official code

4.8K
Stars
72/100
信頼
カテゴリ: media-automation監査

MLNLP: This repository is a collection of AI top conferences papers (e.g. ACL, EMNLP, NAACL, COLING, AAAI, IJCAI, ICLR, NeurIPS, and ICML) with open resource code

2.7K
Stars
68/100
信頼
カテゴリ: robotics-iot監査

[AAAI 2024] Follow-Your-Pose: This repo is the official implementation of "Follow-Your-Pose : Pose-Guided Text-to-Video Generation using Pose-Free Videos"

1.4K
Stars
71/100
信頼
カテゴリ: media-automation監査

[AAAI 2026] EchoMimicV3: 1.3B Parameters are All You Need for Unified Multi-Modal and Multi-Task Human Animation

945
Stars
71/100
信頼
カテゴリ: media-automation監査

[AAAI 2025] Follow-Your-Click: This repo is the official implementation of "Follow-Your-Click: Open-domain Regional Image Animation via Short Prompts"

908
Stars
65/100
信頼
カテゴリ: media-automation監査

AAAI 2025: Codec Does Matter: Exploring the Semantic Shortcoming of Codec for Audio Language Model

304
Stars
67/100
信頼
カテゴリ: media-automation監査

The official implementation of Segment Any 3D GAussians (AAAI-25)

973
Stars
65/100
信頼
カテゴリ: robotics-iot監査

AAAI 2024 Papers: Explore a comprehensive collection of innovative research papers presented at one of the premier artificial intelligence conferences. Seamlessly integrate code implementations for better understanding. ⭐ experience the forefront of progress in artificial intelligence with this repository!

590
Stars
65/100
信頼
カテゴリ: robotics-iot監査
See65

Code for the AAAI 2018 publication "SEE: Towards Semi-Supervised End-to-End Scene Text Recognition"

577
Stars
65/100
信頼
カテゴリ: robotics-iot監査

Unsupervised video summarization with deep reinforcement learning (AAAI'18)

504
Stars
62/100
信頼
カテゴリ: robotics-iot監査

A collection of online continual learning paper implementations and tricks for computer vision in PyTorch, including our ASER(AAAI-21), SCR(CVPR21-W) and survey (Neurocomputing).

423
Stars
59/100
信頼
カテゴリ: robotics-iot監査

Implementation of the paper "Self-Adaptive Physics-Informed Neural Networks using a Soft Attention Mechanism" [AAAI-MLPS 2021]

298
Stars
59/100
信頼
カテゴリ: geo-science監査