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。

検索結果: neurips-2021

英語版ディレクトリ

SWE-agent takes a GitHub issue and tries to automatically fix it, using your LM of choice. It can also be employed for offensive cybersecurity or competitive coding challenges. [NeurIPS 2024]

20K
Stars
87/100
信頼
カテゴリ: coding-agents監査

[NeurIPS'23 Oral] Visual Instruction Tuning (LLaVA) built towards GPT-4V level capabilities and beyond.

25K
Stars
74/100
信頼
カテゴリ: support-automation監査
VAR83

[NeurIPS 2024 Best Paper Award][GPT beats diffusion🔥] [scaling laws in visual generation📈] Official impl. of "Visual Autoregressive Modeling: Scalable Image Generation via Next-Scale Prediction". An *ultra-simple, user-friendly yet state-of-the-art* codebase for autoregressive image generation!

8.7K
Stars
83/100
信頼
カテゴリ: media-automation監査

Curated resources help you prepare for the CNCF/Linux Foundation CKS 2021 "Kubernetes Certified Security Specialist" Certification exam. Please provide feedback or requests by raising issues, or making a pull request. All feedback for improvements are welcome. thank you.

2.1K
Stars
83/100
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カテゴリ: devops監査

[NeurIPS '25] Knowledge Graph Generation from Any Text

1.2K
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72/100
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カテゴリ: rag-knowledge監査

Infer gene regulatory networks (GRNs) from gene expression data using scalable algorithms (GRNBoost2, GENIE3). Use when analyzing transcriptomics data (bulk RNA-seq, single-cell RNA-seq) to identify transcription factor-target gene relationships and regulatory interactions. Supports distributed computation for large-scale datasets.

34K
Stars
77/100
信頼
カテゴリ: data-analysis監査

rPPG-Toolbox: Deep Remote PPG Toolbox (NeurIPS 2023)

1.1K
Stars
71/100
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カテゴリ: robotics-iot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
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カテゴリ: robotics-iot監査

DIAMOND (DIffusion As a Model Of eNvironment Dreams) is a reinforcement learning agent trained in a diffusion world model. NeurIPS 2024 Spotlight.

2.1K
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73/100
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カテゴリ: ml-automation監査

Official code for "DPM-Solver: A Fast ODE Solver for Diffusion Probabilistic Model Sampling in Around 10 Steps" (Neurips 2022 Oral)

1.8K
Stars
71/100
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カテゴリ: ml-automation監査

Discovering Interpretable GAN Controls [NeurIPS 2020]

1.8K
Stars
69/100
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カテゴリ: media-automation監査