Annuaire de skills
Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.
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
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
A comprehensive toolkit for enhancing GitHub Copilot with specialized agents, instructions, and workflows.
A comprehensive collection of ready-to-use scientific and research skills for AI agents.
A Codex skill for generating minimal zine-style editorial poster prompts and images.
A WebGL accelerated JavaScript library for training and deploying ML models.
A flexible, high-performance serving system for machine learning models
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Annuaire de skills
Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.
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
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
A comprehensive toolkit for enhancing GitHub Copilot with specialized agents, instructions, and workflows.
A comprehensive collection of ready-to-use scientific and research skills for AI agents.
A Codex skill for generating minimal zine-style editorial poster prompts and images.
A WebGL accelerated JavaScript library for training and deploying ML models.
A flexible, high-performance serving system for machine learning models
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Annuaire de skills
Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.
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
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
A comprehensive toolkit for enhancing GitHub Copilot with specialized agents, instructions, and workflows.
A comprehensive collection of ready-to-use scientific and research skills for AI agents.
A Codex skill for generating minimal zine-style editorial poster prompts and images.
A WebGL accelerated JavaScript library for training and deploying ML models.
A flexible, high-performance serving system for machine learning models
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.
Annuaire de skills
Chaque recommandation reste clairement reliée à son dépôt, son audit et son chemin d’installation.
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
React and Next.js performance guidance for writing, reviewing, and refactoring production UI code.
A comprehensive toolkit for enhancing GitHub Copilot with specialized agents, instructions, and workflows.
A comprehensive collection of ready-to-use scientific and research skills for AI agents.
A Codex skill for generating minimal zine-style editorial poster prompts and images.
A WebGL accelerated JavaScript library for training and deploying ML models.
A flexible, high-performance serving system for machine learning models
Vendor-agnostic orchestration for training, inference and agentic workloads across NVIDIA, AMD, TPU, and Tenstorrent on clouds, Kubernetes, and bare metal.
TFDS is a collection of datasets ready to use with TensorFlow, Jax, ...
A repository for storing models that have been inter-converted between various frameworks. Supported frameworks are TensorFlow, PyTorch, ONNX, OpenVINO, TFJS, TFTRT, TensorFlowLite (Float32/16/INT8), EdgeTPU, CoreML.