training-data
Training data management including labeling strategies, data augmentation, handling imbalanced data, and data splitting best practices.
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Skills indexés
128Étoiles des dépôts des skills indexés
384Forks du dépôt
128Moyenne des étoiles par skill indexé
3Les étoiles d’un dépôt peuvent se répéter entre ses skills.
Training data management including labeling strategies, data augmentation, handling imbalanced data, and data splitting best practices.
Agency-grade interface design with systematic aesthetic framework (BEAUTIFUL → RIGHT → SATISFYING → PEAK)
Claude writes comprehensive Python tests using pytest. Use when writing unit tests, creating fixtures, parametrizing tests, mocking dependencies, testing async code, or setting up CI test pipelines.
Deep learning foundations including neural network basics, backpropagation, optimization, regularization, and training best practices.
Claude builds immersive 3D web experiences with Three.js and React Three Fiber. Use when creating WebGL scenes, 3D animations, shaders, or physics simulations.
The agent enforces mandatory test completion before any task or feature can be marked as done, ensuring code quality through strict validation gates and evidence-based completion criteria.
Building robust AI systems including model monitoring, drift detection, reliability engineering, and failure handling for production ML.
Enterprise Ruby on Rails development with Active Record, API mode, testing, and production patterns
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.