Deep learning

Official NVIDIA-authored guidance for PhysicsNeMo ShardTensor domain parallelism — integrate domain parallelism into training/inference scripts (new or existing) with DDP or FSDP2, write and…

NVIDIA/skills

PyTorch-based TAO image classification. An agent skill from NVIDIA/skills.

NVIDIA/skills

Guide users through the Feynman Technique by asking them to explain a concept in simple language, diagnosing gaps, correcting misunderstandings, simplifying explanations, and retesting understanding.

mingchen666/Reviva

A skill your agent uses when you need to design, review, or improve REST APIs with Quarkus REST (Jakarta REST) — including resource classes, HTTP methods, status codes, request/response DTOs, Bean…

jabrena/plinth

A skill your agent uses when you need to design, review, or improve validation in Quarkus applications — including Bean Validation on JAX-RS resources, @Valid on parameters and CDI beans, constraint…

jabrena/plinth

A skill your agent uses to classify tabular data end-to-end in MATLAB — load a dataset, prepare and clean it, select promising classifiers, train them, and compare accuracies with cross-validation…

matlab/matlab-agentic-toolkit

Reference for the GRPO (Group Relative Policy Optimization) algorithm.

benchflow-ai/skillsbench

Analyzes data-independent acquisition (DIA) proteomics by scoring reconstructed fragment-chromatogram peak groups against a decoy null with DIA-NN (library-free directDIA, library-based, or…

GPTomics/bioSkills

Predicts RNA secondary structure with ViennaRNA, treating the Boltzmann ensemble (partition function, base-pair probabilities, centroid, MEA, stochastic samples) as the object rather than a single…

GPTomics/bioSkills

Apply existing ShapeShifter graph passes to an .onnx model via the quark-cli shapeshifter CLI or a ShapeShifter YAML.

amd/Quark

Diagnose failed Quark installation, PTQ execution, script generation, or export attempts.

amd/Quark

Install or verify the correct PyTorch build for a user's accelerator backend before Quark installation.

amd/Quark

L3 recipe that runs a Torch LLM PTQ end-to-end for AMD Quark — for PyTorch / HuggingFace transformers models (safetensors input): quantize → validate → evaluate.

amd/Quark

Classify and embed images, detect objects, and answer from a passage in a Code node or CodeAct action, with TensorFlow.js running on the host

nodetool-ai/nodetool

Work with hyperspectral and multispectral images in MATLAB. An agent skill from matlab/matlab-agentic-toolkit.

matlab/matlab-agentic-toolkit

Generate C/C++ or CUDA code from an AI model (PyTorch, LiteRT) using MATLAB Coder or GPU Coder.

matlab/matlab-agentic-toolkit

Creates MATLAB interfaces to Python image processing and computer vision models from GitHub repositories or pip-installable packages using MPyReq.

matlab/matlab-agentic-toolkit

Load this first for any task involving images, pictures, photos, scans, frames, volumes, or visual data — including reading, writing, filtering, enhancing, denoising, sharpening, deblurring…

matlab/matlab-agentic-toolkit

Deploy AI models to embedded hardware using MathWorks tools (MATLAB, Simulink, Embedded Coder).

matlab/matlab-agentic-toolkit

Train, evaluate, and export neural networks to Simulink in MATLAB.

matlab/matlab-agentic-toolkit

Validate Triton-Ascend kernel outputs against PyTorch references with dtype-aware tolerances, exact integer checks, bfloat16 promotion, and boolean handling.

Krusty84/triton-ascend-agent-dev-kit

This skill provides guidance for implementing PyTorch pipeline parallelism for distributed training of large language models.

lazyFrogLOL/Harness_Engineering

This skill provides guidance for implementing tensor parallelism in PyTorch, specifically column-parallel and row-parallel linear layers.

lazyFrogLOL/Harness_Engineering

Convert existing PyTorch Lightning training code into an NVFLARE federated job using the Lightning Client API patch, local validation, and job export; use only when the request names…

NVIDIA/skills

Convert existing plain or manual PyTorch training code into an NVFLARE federated job using Client API model exchange, local validation, and job export; use when the user names plain PyTorch or…

NVIDIA/skills

Extract Intel GPU ISA (assembly) from any XPU kernel. An agent skill from intel/torch-xpu-ops.

intel/torch-xpu-ops

A skill your agent uses when setting up a new torch-xpu-ops release branch corresponding to a PyTorch release.

intel/torch-xpu-ops

Build PyTorch from source with Intel XPU (GPU) support. An agent skill from intel/torch-xpu-ops.

intel/torch-xpu-ops

Generate PyTorch release notes worksheet for XPU by searching git log between release branches.

intel/torch-xpu-ops

Installs or verifies AMD Quark and ensures the selected Python environment has an accelerator-matched PyTorch.

amd/Quark

Runs an end-to-end AMD Quark post-training quantization workflow for PyTorch / Hugging Face LLMs: inspect a Hub or local model, choose a quantization plan, create reproducible artifacts, request…

amd/Quark

Integrate a HuggingFace Computer Vision model into the NVIDIA TAO Toolkit ecosystem (tao-core config, tao-pytorch trainer, tao-deploy TensorRT pipeline).

NVIDIA/skills

Generate and analyze T1/T2/R roofline reports for PyTorch OOB workloads comparing Intel XPU and NVIDIA CUDA.

intel/torch-xpu-ops

Find upstream PyTorch behavior or fixes that may require XPU parity work, validate them on XPU, and produce independently reviewed evidence.

intel/torch-xpu-ops

提供数据库设计、优化、数据工程和数据分析能力。当需要处理数据库操作、数据管道或数据分析时使用. An agent skill from Prorise-cool/Claude-Code-Multi-Agent.

Prorise-cool/Claude-Code-Multi-Agent

Predict LC-MS/MS (MS2, tandem mass spectra) from SMILES via ICEBERG, a two-stage deep neural network.

learningmatter-mit/AtomisticSkills

Predict 1H NMR spectra from SMILES strings via NMRdb.org SPINUS neural network prediction and nmrsim quantum mechanical spin simulation.

learningmatter-mit/AtomisticSkills

Train GPT-2 scale models (~124M parameters) efficiently on a single GPU.

benchflow-ai/skillsbench

Design and execute computational social science analyses across 11 modules: text-as-data/NLP (STM, BERTopic, Wordfish, BERT, conText embedding regression, LLM annotation + DSL bias correction…

joshzyj/open-scholar-skill

Classical ML in Python: classification, regression, clustering, dim reduction, evaluation, tuning, preprocessing pipelines.

jaechang-hits/SciAgent-Skills

PyTorch Geometric (PyG) for graph neural networks: node/graph classification, link prediction with GCN, GAT, GraphSAGE, GIN.

jaechang-hits/SciAgent-Skills

通过 PyTorch torch.distributed 接口测试昇腾 NPU 通信算子性能。支持指定任意 tensor shape、dtype，使用 torchrun 启动，贴近真实训练场景的通信算子测试与性能分析。Use for testing collective communication operators (AllReduce, AllGather, ReduceScatter…

ascend-ai-coding/awesome-ascend-skills

优化实际模型推理链路，将正确性对齐、分段 profiling、显存与数据搬运、TensorRT/ONNX/PyTorch 后端、attention/kernel、FP8/compile、缓存与少步采样、质量回归、GPU 成本和服务验收串成同一实验闭环。当用户要求推理提速、降低显存或 GPU 成本、复现模型效果、定位 GPU 利用率低、优化图像/视频/扩散模型或自托管 LLM 时使用，提供…

majiayu000/spellbook

Guidance for building and training with the Caffe deep learning framework on CIFAR-10 dataset.

lazyFrogLOL/Harness_Engineering

Guide for selecting and configuring distributed training strategies in NeMo AutoModel, including FSDP2, Megatron FSDP, DDP, and parallelism settings.

NVIDIA/skills

Validate and use CUDA graph capture in Megatron Bridge, including local full-iteration graphs and Transformer Engine scoped graphs for attention, MLP, and MoE modules.

NVIDIA/skills

Operational guide for enabling Megatron FSDP in Megatron-Bridge, including config knobs, code anchors, pitfalls, and verification.

NVIDIA/skills

Practical guidance for training MoE VLMs in Megatron Bridge.

NVIDIA/skills