299 tagged deep-learning, measured the same way as everything else here.
Browse within: foundation-models 100machine-learning 98PyTorch 42computer-vision 42claude-code-plugin 32neural-network 27object-detection 27GPU 26data-science 26face-recognition 25fine-tuning 25video-surveillance 25claude-plugin 23Multilingual 20
Skill Claude CodeCodex
Process whole-slide pathology images (WSIs) with TRIDENT: tissue segmentation, patch coordinate extraction, and patch/slide feature (embedding) extraction with foundation models (UNI, CONCH, Virchow, Gemma, Titan, GigaPath, etc.). Use when the user works with WSIs (.svs/.tiff/.ndpi/.mrxs/.czi/.dcm), mentions TRIDENT…
Skill Claude CodeCodex
Adversarial research analysis framework that uses structured Bull/Bear/Arbiter debates to help users make better research judgments. Maintains a belief graph as backend engine, applies statistical calibration discipline, tracks phase transitions, and detects biases. MANDATORY TRIGGERS: Use this skill whenever the user…
Skill Claude CodeCodex
Generate a fact-checked academic personal homepage from a CV, optionally augmented by an existing manual homepage and an assets directory. Produces editable structured source files (profile.yml + publications.bib + bio.md + news.md) and a single-file HTML page. Uses Codex MCP for independent factual review against…
Skill Claude CodeCodex
A long Chinese study guide about a focused machine-learning or large-language-model topic, combining explanations, formulas, PyTorch code, comparisons, and interview questions. PyTorch is a Python library for building and training neural networks.
Skill Claude CodeCodex
Render an ARIS Markdown / JSON artifact (IDEAREPORT, AUTOREVIEW, KILLARGUMENT, PAPERPLAN, research-wiki state, etc.) into a single-file HTML view designed for human reading. Academic template outputs are gated by a fresh cross-model Codex review for render fidelity + safety (the ARIS invariant). Use when the user says…
ATOM00blue/machine-learning-library
Skill Claude CodeCodex
Retrieve and cite from this machine-learning education corpus (923 docs — arXiv papers, course lectures, explainer articles). Use when the user asks an ML/deep-learning question, wants to learn a topic, asks for sources/papers/lectures on a concept, or wants a study path grounded in this repo.
graphsignal/graphsignal-profiler
Skill Claude CodeCodex
Set up the Graphsignal Profiler for inference workloads — vLLM, SGLang, PyTorch, and dstack services. Use when the user wants GPU profiling, tracing, or monitoring for inference, asks about graphsignal-run or graphsignal.watch(), or asks about CUPTI / Prometheus / OTLP setup.
Skill Claude CodeCodex
Analyze PerforatedAI training results and provide optimization recommendations. Trigger: 'Analyze my perforated results' (after training completes). Reviews CSV outputs, identifies performance patterns, recommends configuration improvements. For initial setup or debugging, use the perforatedai skill instead.
Skill Claude CodeCodex
Multi-GPU setup for PerforatedAI with DataParallel or DistributedDataParallel (DDP). Invoked automatically by the perforatedai skill when multi-GPU training is detected. Handles initialization workflow, checkpoint loading, rank 0 handling, and shell script generation for DDP.
Skill Claude CodeCodex
Expert in PerforatedAI library for adding artificial dendrites to PyTorch neural networks. Triggers: 'Perforate my model' (start interactive setup), 'debug my perforated model' (debug/optimize existing integration), 'load my perforated model for inference' (deploy trained models). Also use when: debugging dendrite…
Skill Claude CodeCodex
Inspect and compare PyTorch models with TorchScan reports, operator FLOPs, and peak-memory workloads. Use when an agent must analyze model structure, parameters, compute, memory, regressions, unsupported operations, or an owner-provided model budget without inventing completeness.
Skill Claude CodeCodex
Parse PDF annual reports from global exchanges. Extracts TOC, chapters, financial highlights, and key narrative sections.
Skill Claude CodeCodex
A pre-merge check for changes to Piper's Python code that looks for missing updates in seven other runtimes and two Docker images. A runtime is an environment that runs the software; Docker images package software and its dependencies.
Skill Claude CodeCodex
An automated workflow for creating a pull request, a request to merge code changes into another branch. It pushes the branch, creates the pull request, watches its automated checks, and handles review conversations.
Skill Claude CodeCodex
A helper for responding to unresolved GitHub pull-request review comments and closing their discussion threads. It can distinguish already-outdated comments and certain repetitive Copilot style comments from comments that may still block the change.
Skill Claude CodeCodex
A Chinese-language learning assistant for MiniMind, a small language-model project, that records study notes and recognizes common machine-learning terms.
Skill Claude CodeCodex
Scaffold a brand-new Comet example in this repo from the canonical template under templates/integration-example/. Use whenever the user wants to create, add, or start a new example, demo, or integration on Comet — phrasings like "add a Comet example for X", "scaffold an integration example", "create a new example for…
Skill Claude CodeCodex
Running Albucore micro-benchmarks under benchmarks/, synthetic router timings, and comparing PyPI releases with uv --no-project. Use when adding benchmarks, comparing performance across versions, or documenting benchmark workflow.
Skill Claude CodeCodex
Albucore image processing conventions - shapes (H,W,C), dtypes (uint8/float32), benchmark-driven backend routing (OpenCV, NumPy, Torch CPU, LUT, NumKong), tests, and lockfile discipline. Use when implementing or modifying albucore modules, writing tests, or reviewing image-processing code.
Skill Claude CodeCodex
Systematic performance audit for Albucore runtime code. Use whenever implementing, reviewing, profiling, or optimizing atomic image operations, backend routing, reductions, label maps, LUTs, random generation, dtype conversions, allocation-heavy paths, batch or volume kernels, or in-place behavior.
Skill Claude CodeCodex
Use this skill whenever a user asks about TypeScript logic, Svelte 5 components, SvelteKit routing or data loading, state management, reactivity, API integration, type definitions, performance optimization, or any frontend logic in the OpsML project. Triggers include: writing or fixing TypeScript, Svelte runes…
Skill Claude CodeCodex
Broad skill for building, editing, debugging, styling, and extending the OpsML UI in crates/opsmlserver/opsmlui. Use for Svelte 5 components, SvelteKit routes/layouts/load functions, internal /routes/api proxy endpoints, UI stores, Tailwind or Skeleton styling, card pages, Scouter dashboards, observability or trace…
Skill Claude CodeCodex
Extract text and tables from PDF files, fill forms, merge documents. Use when working with PDF files or when the user mentions PDFs, forms, or document extraction.
Skill Claude CodeCodex
Use when writing Deepbox code, examples, or full projects so imports, module selection, types, errors, docs pages, and framework-specific patterns stay accurate.
At most 3 mods per repository are shown here, and a mod shipped inside a plugin is left to that plugin's page — the rest are on their repository pages: