All authors
Claude Skills by VectorSpaceLab
github.com/VectorSpaceLab6,028 skills74 installs15,373 views
- Evaluator Pipelines"Use evaluate.evaluator and EvaluationSuite to evaluate modelVotes: 0GitHub stars: 247
- Hub And Cli"Create, validate, and publish custom Hugging Face EvaluateVotes: 0GitHub stars: 247
- Module Computation"Compute evaluate metrics, comparisons, and measurements withVotes: 0GitHub stars: 247
- Module Loading"Discover, inspect, and load Hugging Face Evaluate metrics,Votes: 0GitHub stars: 247
- Everos"Use this skill for EverOS local-first Markdown memory serviceVotes: 0GitHub stars: 247
- Cascade And Evolution"Use this sub-skill for EverOS Markdown storage layout, cascadeVotes: 0GitHub stars: 247
- Knowledge Base"Use this sub-skill for EverOS knowledge document upload, topicVotes: 0GitHub stars: 247
- Memory Api"Use this sub-skill for EverOS HTTP memory add, flush, search, get,Votes: 0GitHub stars: 247
- Observability"Use this sub-skill for EverOS logging, Prometheus metrics,Votes: 0GitHub stars: 247
- Setup And Config"Use this sub-skill to install EverOS, generate and inspectVotes: 0GitHub stars: 247
- Evo"Routes evo trajectory-evaluation workflows for APE/RPE, trajectoryVotes: 0GitHub stars: 247
- ConfigurationRoutes evo package-info, settings, logfile, and IPython shell workflows.Votes: 0GitHub stars: 247
- Metrics"Routes evo_ape and evo_rpe workflows, metric helper APIs,Votes: 0GitHub stars: 247
- Python Api"Routes evo programmatic usage, notebook workflows, plotting, andVotes: 0GitHub stars: 247
- Result Analysis"Routes evo_res workflows, saved-result comparison, table export,Votes: 0GitHub stars: 247
- Trajectory Data"Routes evo_traj workflows, trajectory file formats, converters,Votes: 0GitHub stars: 247
- Executorch"Use ExecuTorch to export PyTorch models to edge runtime artifacts,Votes: 0GitHub stars: 247
- Backend Selection"Choose and configure ExecuTorch backends/delegates, including CPU,Votes: 0GitHub stars: 247
- Binary Size"Measure, compare, and reduce ExecuTorch binary size usingVotes: 0GitHub stars: 247
- Cortex M"Develop, export, build, and test ExecuTorch Cortex-M/CMSIS-NNVotes: 0GitHub stars: 247
- Export Runtime"Export PyTorch models to ExecuTorch .pte/.ptd programs andVotes: 0GitHub stars: 247
- Llm Workflows"Plan ExecuTorch LLM export and on-device runner workflows,Votes: 0GitHub stars: 247
- Profiling Debugging"Profile and debug ExecuTorch execution with ETRecord, ETDump,Votes: 0GitHub stars: 247
- Qualcomm"Build, export, test, and debug ExecuTorch Qualcomm QNN backendVotes: 0GitHub stars: 247
- Setup Build"Install and build ExecuTorch from source, including Python packageVotes: 0GitHub stars: 247
- Face Alignment"Routes face-alignment installation, import checks,Votes: 0GitHub stars: 247
- Detectors"Routes face detector backend selection and backend-specificVotes: 0GitHub stars: 247
- Landmark Detection"Routes face landmark prediction on single images, batches, andVotes: 0GitHub stars: 247
- Face Evolve"Use face.evoLVe for high-performance face recognition workflowsVotes: 0GitHub stars: 247
- Data Preparation"Prepare and validate face.evoLVe identity-folder datasets,Votes: 0GitHub stars: 247
- Face Alignment"Align face identity folders with MTCNN detection, landmarkVotes: 0GitHub stars: 247
- Feature Extraction Verification"Extract face.evoLVe embeddings from trained PyTorch checkpointsVotes: 0GitHub stars: 247
- Paddle Workflows"Use face.evoLVe PaddlePaddle training, quantization, PaddleVotes: 0GitHub stars: 247
- Pytorch Training"Configure and inspect face.evoLVe PyTorch training, validation,Votes: 0GitHub stars: 247
- Face Recognition"Use face_recognition to detect faces, extract landmarks andVotes: 0GitHub stars: 247
- Facenet"Use davidsandberg/facenet for TensorFlow 1.x face recognitionVotes: 0GitHub stars: 247
- Data And Alignment"Prepare Facenet class-folder datasets, validate LFW pair inputs,Votes: 0GitHub stars: 247
- Embeddings And Classification"Use Facenet embeddings for face comparison, SVM classifiers,Votes: 0GitHub stars: 247
- Evaluation"Evaluate Facenet embeddings with LFW pair files, ROC/VAL/FARVotes: 0GitHub stars: 247
- Model Export And Checkpoints"Load Facenet checkpoint directories or frozen graphs, inspectVotes: 0GitHub stars: 247
- Training"Train Facenet models with softmax or triplet loss, modelVotes: 0GitHub stars: 247
- Fairlearn"Use Fairlearn to assess group fairness, compute disparity metrics,Votes: 0GitHub stars: 247
- Adversarial"Use Fairlearn adversarial fairness estimators with PyTorch orVotes: 0GitHub stars: 247
- Assessment"Use Fairlearn assessment APIs for MetricFrame, group fairnessVotes: 0GitHub stars: 247
- Datasets"Use Fairlearn built-in dataset loaders, schema notes, cacheVotes: 0GitHub stars: 247
- Installation"Install, inspect, and troubleshoot Fairlearn runtimes, optionalVotes: 0GitHub stars: 247
- Postprocessing"Use Fairlearn ThresholdOptimizer and threshold-optimizer plots toVotes: 0GitHub stars: 247
- Preprocessing"Use Fairlearn preprocessing mitigation with CorrelationRemover andVotes: 0GitHub stars: 247
- Reductions"Use Fairlearn reductions mitigation with ExponentiatedGradient,Votes: 0GitHub stars: 247
- Faiss"Guides Researchers through Faiss installation, dense and binaryVotes: 0GitHub stars: 247