Data & Analytics · PyTorch · For data scientists

Refresh GitNexus indexing and regenerate local GitNexus skills when repository status is stale.

ML4ITS/TimeVQVAE

Uses Ray Data to read, transform and write large datasets across a cluster for ML training and batch inference, with streaming execution and optional GPU steps.

Orchestra-Research/AI-Research-SKILLs

Detects CPU, GPU, memory and disk resources before heavy scientific tasks and writes a JSON file with advice on parallelism, out-of-core work and GPU use.

davila7/claude-code-templates

Explains machine learning predictions with SHAP: picking the right explainer, computing Shapley values and drawing waterfall, beeswarm, bar and force plots.

davila7/claude-code-templates

Covers logging and viewing training metrics, histograms, model graphs, embeddings and profiles with TensorBoard in PyTorch and TensorFlow projects.

Orchestra-Research/AI-Research-SKILLs

Publish a Python package to PyPI using uv with credentials loaded from a local .secrets file.

ML4ITS/TimeVQVAE

Set up conditions for PINA problems. An agent skill from PINA-org/PINA.

PINA-org/PINA

Shows how to log ML runs, configs, metrics and media with SwanLab and view them in cloud, local or self-hosted dashboards.

Orchestra-Research/AI-Research-SKILLs

Guides technology selection and implementation of AI and ML features in .NET 8+ applications using ML.NET, Microsoft.Extensions.AI (MEAI), Microsoft Agent Framework (MAF), GitHub Copilot SDK, ONNX…

dotnet/skills

Machine learning engineer expert for PyTorch, scikit-learn, model evaluation, and MLOps

RightNow-AI/openfang

Train ML models on Databricks. An agent skill from databricks/databricks-agent-skills.

databricks/databricks-agent-skills

Official NVIDIA-authored guidance for navigating PhysicsNeMo — pick the model, datapipe, or example for a SciML/AI4Science task (surrogates, forecasting, downscaling, physics-informed, inverse…

NVIDIA/skills

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

jaechang-hits/SciAgent-Skills

Train ML models with scikit-learn, PyTorch, TensorFlow. An agent skill from secondsky/claude-skills.

secondsky/claude-skills

GPU optimization for consumer NVIDIA GPUs (8-24GB VRAM) covering mixed precision, gradient checkpointing, XGBoost GPU, CuPy/cuDF migration, and torch.compile.

Mathews-Tom/armory

A skill your agent uses for PaddleViT's DINO self-supervised vision-transformer pretraining, multi-crop data contracts, teacher/student configuration, single- or multi-GPU launch planning…

VectorSpaceLab/AREX-Skill

A skill your agent uses when predicting a column from rows of tabular features with classic models — scikit-learn pipelines, RandomForest, XGBoost/LightGBM, leak-free cross-validation, metrics for…

ericrisco/rsc-harness

Route text-labeling requests across LDA topic modeling, sklearn baselines, pretrained transformer models, and OpenAI-compatible LLM labeling.

Drchronx/ai-agent-research-starter-kit