Claude Skills by VectorSpaceLab

"Use and adapt core policy, rollout, optimizer, distribution, and

"Build and troubleshoot training, evaluation, checkpoint playback,

"Operate the script-based PyTorch CIFAR-100 model zoo, training,

"Evaluate pytorch-cifar100 checkpoints safely with test.py, metric

Select and instantiate CIFAR-100 CNN architectures for this repo.

"Routes CIFAR-100 training command construction, warmup,

"Guide CycleGAN and pix2pix image-to-image translation,

"Add custom models and datasets that match the repo registry,

"Plan, validate, and convert datasets for CycleGAN, pix2pix,

"Train, test, and apply CycleGAN, pix2pix, and colorization models

"Use pytorch-fid to compute Frechet Inception Distance for image

"Use PyTorch Forecasting for tabular time-series datasets, deep

"Guide experimental PyTorch Forecasting API-v2 D1/D2/M/P workflows,

"Implement custom PyTorch Forecasting metrics, models, package

"Prepare tabular time-series data for PyTorch Forecasting v1

"Select, instantiate, train, checkpoint, predict, and interpret

"Choose and use PyTorch Forecasting metrics, losses, composite

"Routes PyTorch Geometric Temporal tasks for temporal graph

"Guides PyTorch Geometric Temporal attention-based temporal graph

"Guides safe selection and use of PyTorch Geometric Temporal

"Guides memory-efficient PyTorch Geometric Temporal index-batching,

"Guide PyTorch Geometric Temporal recurrent graph layer selection,

"Guides construction, slicing, splitting, iteration, batching, and

"Use PyTorch Geometric to build graph data, loaders, GNN models,

"Create, validate, split, transform, and package PyTorch Geometric

"Configure PyTorch Geometric Explainer workflows, explanation

"Design, train, debug, and smoke-test PyTorch Geometric GNN modules

"Configure, validate, customize, and troubleshoot PyTorch Geometric

"Build and debug PyTorch Geometric heterogeneous graph data,

"Mini-batch PyTorch Geometric Data objects, configure

"Scale PyTorch Geometric workloads with large-graph neighbor

"Guides PyTorch grad-cam workflows for class activation maps,

"Routes core pytorch-grad-cam heatmap generation, target layer

"Routes expert pytorch-grad-cam method selection, public

"Routes pytorch-grad-cam explanation metrics, ROAD, ARCC,

"Routes pytorch-grad-cam adaptation for ViT, Swin, CLIP, object

"Routes PyTorch Metric Learning tasks across metric-learning

"Routes PyTorch Metric Learning questions about losses, miners,

"Routes PyTorch Metric Learning questions about packaged datasets

"Routes PyTorch Metric Learning questions about AccuracyCalculator,

"Routes PyTorch Metric Learning questions about trainers, hooks,

"Use pytorch-semseg for PyTorch semantic segmentation model

"Author and statically validate pytorch-semseg YAML configs, choose

"Select pytorch-semseg model architectures, instantiate safe

"Safely use or adapt pytorch-semseg test.py for one-image semantic

"Safely build and adapt pytorch-semseg training and validation

"Use and maintain the legacy torchsummary PyTorch model-summary

"Use torchsummary.summary and torchsummary.summary_string to

"Maintain the torchsummary checkout safely, including package

"Use Pytorch-UNet for semantic segmentation model APIs, data