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Claude Skills by VectorSpaceLab
github.com/VectorSpaceLab6,028 skills74 installs15,373 views
- Data Preparation"Routes EasyCV dataset layouts, annotation conversion, file I/O,Votes: 0GitHub stars: 247
- Export And Optimization"Routes EasyCV export, pruning, quantization, TorchAccelerator, andVotes: 0GitHub stars: 247
- Prediction And Inference"Routes EasyCV predictor APIs, batch prediction, featureVotes: 0GitHub stars: 247
- Training And Evaluation"Routes EasyCV config-driven training, evaluation, validation, andVotes: 0GitHub stars: 247
- Easyocr"Use EasyOCR to detect and recognize text in images, configureVotes: 0GitHub stars: 247
- Custom Models"Load EasyOCR custom recognition bundles, validate the file triad,Votes: 0GitHub stars: 247
- Dbnet"Use EasyOCR's DBNet detector, check DBNet import/init, and compileVotes: 0GitHub stars: 247
- Inference"Run EasyOCR on images and image-like inputs with the Reader API orVotes: 0GitHub stars: 247
- Eccv2022 Rife"Operate ECCV2022-RIFE video frame interpolation, benchmarkVotes: 0GitHub stars: 247
- Evaluation"Select, prepare, and interpret ECCV2022-RIFE benchmark andVotes: 0GitHub stars: 247
- Interpolation"Use ECCV2022-RIFE image-pair, video, and PNG-sequenceVotes: 0GitHub stars: 247
- Training"Operate ECCV2022-RIFE training preflight, Vimeo triplet dataVotes: 0GitHub stars: 247
- Edge Connect"Route EdgeConnect requests for image inpainting setup, dataVotes: 0GitHub stars: 247
- Data Preparation"Prepare EdgeConnect images, masks, edges, and flists and validateVotes: 0GitHub stars: 247
- Evaluation"Score EdgeConnect outputs with pixel metrics and validateVotes: 0GitHub stars: 247
- Testing"Run EdgeConnect checkpoint-backed testing and inference withVotes: 0GitHub stars: 247
- Training"Configure EdgeConnect training, internal validation sampling,Votes: 0GitHub stars: 247
- Einops"Use the einops Python package for readable tensor rearrangement,Votes: 0GitHub stars: 247
- Framework Integrations"Use optional einops backends, Array API functions, frameworkVotes: 0GitHub stars: 247
- Named Einsum And Packing"Use einops.einsum, pack, and unpack for named-axis contractionsVotes: 0GitHub stars: 247
- Repo Development"Maintain the einops repository safely: focused tests, backend/envVotes: 0GitHub stars: 247
- Tensor Operations"Core einops tensor operations for rearrange, reduce, repeat,Votes: 0GitHub stars: 247
- Elasticsearch Py"Guide the official Elasticsearch Python client for clusterVotes: 0GitHub stars: 247
- Client Operations"Guide Elasticsearch Python client installation, synchronous andVotes: 0GitHub stars: 247
- Dsl Search"Guide elasticsearch.dsl query and search composition, mappings,Votes: 0GitHub stars: 247
- Esql Query Builder"Guide the Elasticsearch Python ES|QL builder, safe parameterizedVotes: 0GitHub stars: 247
- Helpers Ingest"Guide Elasticsearch Python bulk indexing, streaming, scanning,Votes: 0GitHub stars: 247
- Electricitymaps Contrib"Use for Electricity Maps contrib parser development, capacityVotes: 0GitHub stars: 247
- Capacity"Use when updating installed capacity data, adding capacityVotes: 0GitHub stars: 247
- Configuration"Use when maintaining Electricity Maps zone, exchange, data-center,Votes: 0GitHub stars: 247
- Parsers"Use when adding, debugging, inspecting, or smoke-testingVotes: 0GitHub stars: 247
- EquinoxOperating skill for the Equinox JAX neural-network and PyTree library.Votes: 0GitHub stars: 247
- Diagnostics And Serialization"Use Equinox serialization, runtime errors, debug tools, prettyVotes: 0GitHub stars: 247
- Filtered TransformationsUse Equinox filtered JAX transformations over mixed PyTree models.Votes: 0GitHub stars: 247
- Internal AdvancedUse semi-public equinox.internal helpers for advanced JAX-library workflows.Votes: 0GitHub stars: 247
- Module And TreesUse Equinox modules, fields, PyTree filtering, and tree surgery correctly.Votes: 0GitHub stars: 247
- Nn And State"Use Equinox neural-network layers, Sequential models, statefulVotes: 0GitHub stars: 247
- Esm"Use the fair-esm repository skill for protein language-modelVotes: 0GitHub stars: 247
- Inverse Folding"Use ESM-IF1 for fixed-backbone protein inverse design, sequenceVotes: 0GitHub stars: 247
- Model Embeddings"Load ESM/ESM-2/MSA Transformer models, tokenize protein inputs,Votes: 0GitHub stars: 247
- Structure Prediction"Predict protein structures from sequences or FASTA files withVotes: 0GitHub stars: 247
- Variant Effect Prediction"Score deep mutational scan CSVs with ESM-1v or MSA TransformerVotes: 0GitHub stars: 247
- Espnet"Use when working with ESPnet speech AI toolkit: installation,Votes: 0GitHub stars: 247
- Development And Testing"Maintain, test, review, and contribute to ESPnet source code,Votes: 0GitHub stars: 247
- Espnet2 Training"Configure, dry-run, train, resume, fine-tune, and troubleshootVotes: 0GitHub stars: 247
- Espnet3 Workflows"Use ESPnet3 System and Hydra stage workflows, config requirements,Votes: 0GitHub stars: 247
- Inference And Model Zoo"Use ESPnet pretrained and local inference APIs, model-zoo tags,Votes: 0GitHub stars: 247
- Installation And Diagnostics"Install, verify, and troubleshoot ESPnet environments, optionalVotes: 0GitHub stars: 247
- Recipes And Data"Create, adapt, validate, and troubleshoot ESPnet2 recipes,Votes: 0GitHub stars: 247
- Evaluate"Use Hugging Face Evaluate to load metrics, comparisons, andVotes: 0GitHub stars: 247