Directorio de skills
Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.
Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.
An Open Source Machine Learning Framework for Everyone
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
scikit-learn: machine learning in Python
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Cross-platform, customizable ML solutions for live and streaming media.
Visualizer for neural network, deep learning and machine learning models
Directorio de skills
Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.
Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.
An Open Source Machine Learning Framework for Everyone
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
scikit-learn: machine learning in Python
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Cross-platform, customizable ML solutions for live and streaming media.
Visualizer for neural network, deep learning and machine learning models
Directorio de skills
Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.
Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.
An Open Source Machine Learning Framework for Everyone
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
scikit-learn: machine learning in Python
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Cross-platform, customizable ML solutions for live and streaming media.
Visualizer for neural network, deep learning and machine learning models
Directorio de skills
Cada recomendación conserva un vínculo claro con su repositorio, auditoría y ruta de instalación.
Reverse-lookup glossary that turns a vague description of a web animation or motion effect into its exact term ("the bouncy thing when a popover opens" → Pop in; "the iOS rubber-band scroll" → Rubber-banding). Use when the user asks "what's it called when…", or describes a motion effect without knowing its name and wants the right word to prompt an AI or designer with. For naming an effect, not designing or building one.
An Open Source Machine Learning Framework for Everyone
🤗 Transformers: the model-definition framework for state-of-the-art machine learning models in text, vision, audio, and multimodal models, for both inference and training.
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Cognee is the open-source AI memory platform for agents. Give your AI agents persistent long-term memory across sessions with a self-hosted knowledge graph engine.
scikit-learn: machine learning in Python
Ready-to-run cloud templates for RAG, AI pipelines, and enterprise search with live data. 🐳Docker-friendly.⚡Always in sync with Sharepoint, Google Drive, S3, Kafka, PostgreSQL, real-time data APIs, and more.
The best free and open-source automated time tracker. Cross-platform, extensible, privacy-focused.
Build and share delightful machine learning apps, all in Python. 🌟 Star to support our work!
Cross-platform, customizable ML solutions for live and streaming media.
Visualizer for neural network, deep learning and machine learning models