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: projection

英語版ディレクトリ

Uniform Manifold Approximation and Projection

8.2K
Stars
81/100
信頼
カテゴリ: ml-automation監査

Core Python library for astronomy and astrophysics workflows that need Astropy APIs, including units/quantities, coordinates, FITS I/O, tables, time systems, WCS, and cosmology. Use when implementing or debugging astronomical data analysis code with Astropy.

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

Autonomously improve a real artifact (code, training recipe, agent harness, data pipeline, prompt) against an objective and an evaluator, using Hypothesis Tree Refinement (HTR) from the Arbor paper. Use this whenever someone wants to iteratively optimize something over many experiments without overfitting — e.g. "get my model's eval score up", "improve this agent/harness", "tune this pipeline", "beat the baseline on this benchmark", "run a search over approaches and keep the best", "do an MLE-bench / Kaggle-style optimization", or any long-horizon "make this artifact better and don't just memorize the dev set" task. Trigger it even when the user doesn't say "Arbor" or "hypothesis tree" but describes repeated experiment-and-evaluate loops, branching exploration of competing ideas, or worries about a dev/test gap. Runs Claude itself as the coordinator with subagent executors in isolated git worktrees; for the standalone `arbor` CLI tool see references/arbor-upstream.md.

34K
Stars
77/100
信頼
カテゴリ: research監査

iSeeBetter: Spatio-Temporal Video Super Resolution using Recurrent-Generative Back-Projection Networks | Python3 | PyTorch | GANs | CNNs | ResNets | RNNs | Published in Springer Journal of Computational Visual Media, September 2020, Tsinghua University Press

382
Stars
70/100
信頼
カテゴリ: media-automation監査

image_projection is a ROS package to create various projections from multiple calibrated cameras.

205
Stars
70/100
信頼
カテゴリ: robotics-iot監査

cntext is a Python library for social science text analysis, offering word frequency, sentiment, word embeddings, and semantic projection to measure constructs like attitudes and psychological states from Chinese text.

455
Stars
68/100
信頼
カテゴリ: document-processing監査

Build, migrate, theme, drill down, and validate reusable Three.js 3D geographic maps and Earth View entrances for Vue or web dashboards. Use when Codex is asked to create or modify a pure Three.js globe, province-level, all-China, or world 3D maps; transition from an Earth View into the existing China map; switch map boundaries between provinces, country scope, world scope, city scope, or district scope; add hierarchical drilldown from world to country, China to province, province to city, city to district/county; replace GeoJSON, labels, scatter points, fly lines, terrain textures, or chase-light paths; derive a whole map color system from one theme color; or preserve an existing dark HUD-style 3D map visual across new regions.

475
Stars
66/100
信頼
カテゴリ: design-creative監査

Generates, optimizes, and validates Cypher 25 queries for Neo4j 2025.x and 2026.x.

101
Stars
63/100
信頼
カテゴリ: automation監査

.NET Spatial Reference and Projection Engine

303
Stars
63/100
信頼
カテゴリ: geo-science監査

Virtual camera is created only using opencv and numpy. It simulates a camera where we can control all its parameters, intrinsic and extrinsic to get a better understanding how each component in the camera projection matrix affects the final image of the object captured by the camera.

256
Stars
63/100
信頼
カテゴリ: robotics-iot監査

A set of .NET projection libraries

139
Stars
59/100
信頼
カテゴリ: data-analysis監査

Designs Command Query Responsibility Segregation (CQRS) and Event Sourcing models with projection rebuilders.

21
Stars
63/100
信頼
カテゴリ: design-creative監査