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Claude Skills by VectorSpaceLab
github.com/VectorSpaceLab6,028 skills74 installs15,373 views
- Accelerated And Interoperable"This skill guides Faiss CPU/GPU acceleration, backend-gatedVotes: 0GitHub stars: 247
- Composition And Filtering"This skill teaches a Researcher to compose Faiss indexes, preserveVotes: 0GitHub stars: 247
- Index Selection And Search"Guides dense-vector metric selection, index construction,Votes: 0GitHub stars: 247
- Persistence And Evaluation"The persistence-and-evaluation sub-skill routes Faiss indexVotes: 0GitHub stars: 247
- Training And Compression"This skill teaches a Researcher to train, compose, inspect, andVotes: 0GitHub stars: 247
- Fast Reid"Operate FastReID setup, configuration, datasets, model/inferenceVotes: 0GitHub stars: 247
- Data And Datasets"Operate FastReID dataset registries, built-in layouts, customVotes: 0GitHub stars: 247
- Deployment And Projects"Operate FastReID deployment export surfaces, optionalVotes: 0GitHub stars: 247
- Modeling And Inference"Operate FastReID model registries, safe CPU construction, featureVotes: 0GitHub stars: 247
- Setup And Configuration"Set up FastReID from a source-only checkout, verify imports, andVotes: 0GitHub stars: 247
- Training And Evaluation"Operate FastReID training and evaluation launch commands,Votes: 0GitHub stars: 247
- Fast Style Transfer"Guides TensorFlow Fast Style Transfer training, image stylization,Votes: 0GitHub stars: 247
- Image Stylization"Guides Fast Style Transfer evaluate.py still-image andVotes: 0GitHub stars: 247
- Training"Plans and validates Fast Style Transfer style.py training runs,Votes: 0GitHub stars: 247
- Video Stylization"Guides Fast Style Transfer transform_video.py and ffwd_videoVotes: 0GitHub stars: 247
- Fastdup"Route fastdup workflows for visual dataset curation,Votes: 0GitHub stars: 247
- Dataset Curation"Guide fastdup workflows for local image cleanup, duplicateVotes: 0GitHub stars: 247
- Media And Exchange"Guide fastdup workflows for video inputs, tar or zip archives,Votes: 0GitHub stars: 247
- Model Enrichment"Guide fastdup workflows for embeddings, feature-vector search,Votes: 0GitHub stars: 247
- Structured Datasets"Guide fastdup workflows for labeled image datasets, objectVotes: 0GitHub stars: 247
- Faster Whisper"Use the faster-whisper package for CTranslate2-backed WhisperVotes: 0GitHub stars: 247
- Transcription"Use faster-whisper transcription APIs for ASR, batched inference,Votes: 0GitHub stars: 247
- Fastmri"Use fastMRI for MRI reconstruction data loading, MRI operators,Votes: 0GitHub stars: 247
- Data Loading"Load and inspect fastMRI HDF5 data, datasets, masks, transforms,Votes: 0GitHub stars: 247
- Evaluation Submission"Prepare fastMRI reconstructions for validation, metric evaluation,Votes: 0GitHub stars: 247
- Lightning Training"Build fastMRI PyTorch Lightning training and test workflows withVotes: 0GitHub stars: 247
- Model Architectures"Instantiate, inspect, and debug fastMRI reconstruction modelVotes: 0GitHub stars: 247
- Mri Operators"Use fastMRI complex tensor math, centered FFT/IFFT, RSS coilVotes: 0GitHub stars: 247
- FastvideoGuides FastVideo video, image, and audio generation, config-first inference, serving, training, distillation, evaluation, and performance workflows.Votes: 0GitHub stars: 247
- Distillation And AdaptersGuides FastVideo DMD and self-forcing distillation, Attn-QAT, LoRA extraction/merge/verification, and checkpoint conversion planning.Votes: 0GitHub stars: 247
- Evaluation And PerformanceGuides FastVideo media metrics, benchmark configuration, quality regression checks, and honest performance comparisons.Votes: 0GitHub stars: 247
- InferenceGuides FastVideo typed Python and config-first CLI generation, model inputs, outputs, offload, attention backends, quantization, and compilation.Votes: 0GitHub stars: 247
- ServingGuides FastVideo HTTP and WebSocket serving, typed request contracts, health checks, session state, and server configuration.Votes: 0GitHub stars: 247
- Setup And ConfigurationHandles FastVideo installation, platform and backend selection, model registry lookup, presets, configuration schemas, and environment diagnosis.Votes: 0GitHub stars: 247
- Training And DataGuides FastVideo dataset layouts, latent preprocessing, modular YAML training, legacy recipe boundaries, and resource-safe training setup.Votes: 0GitHub stars: 247
- Fate"Operate FATE 2.2.0 federated-learning deployments, FateFlowVotes: 0GitHub stars: 247
- Component Runtime"Inspect FATE component CLI commands, component descriptors, taskVotes: 0GitHub stars: 247
- Deployment"Install and deploy FATE through the documented PyPI, standaloneVotes: 0GitHub stars: 247
- Local Launchers"Run and author service-free local FATE launchers withVotes: 0GitHub stars: 247
- Pipeline Workflows"Service-backed FATE-Client Pipeline workflows for data upload,Votes: 0GitHub stars: 247
- Fcos"Routes FCOS object-detection repo tasks for inference demos,Votes: 0GitHub stars: 247
- Data Configs"Guides FCOS YAML config selection, MODEL.FCOS options, datasetVotes: 0GitHub stars: 247
- Inference Demo"Guides FCOS image inference, installed CLI use, public FCOS APIVotes: 0GitHub stars: 247
- Internals Maintenance"Guides FCOS source internals, model/loss/postprocess components,Votes: 0GitHub stars: 247
- Onnx Export"Guides FCOS ONNX export command construction, output tensorVotes: 0GitHub stars: 247
- Training Evaluation"Builds and troubleshoots FCOS training, evaluation, distributedVotes: 0GitHub stars: 247
- Feast"Use for Feast feature store tasks: feature repositories,Votes: 0GitHub stars: 247
- Feature Definitions"Model Feast entities, fields, data sources, feature views,Votes: 0GitHub stars: 247
- Feature Repos And Cli"Create and operate Feast feature repositories withVotes: 0GitHub stars: 247
- Integrations And Extensibility"Use when selecting or configuring Feast optional stores,Votes: 0GitHub stars: 247