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Claude Skills by VectorSpaceLab
github.com/VectorSpaceLab6,028 skills74 installs15,373 views
- Data Tools"Prepare and validate datasets for MMYOLO:Votes: 0GitHub stars: 247
- Deployment ConversionGuide MMYOLO export, checkpoint conversion, and deployment backend workflows.Votes: 0GitHub stars: 247
- Inference Visualization"Guide MMYOLO image/video inference, LabelMe export, large-imageVotes: 0GitHub stars: 247
- Model Api"Inspect and extend MMYOLO registries, model components, datasets,Votes: 0GitHub stars: 247
- Training Evaluation"Route safe MMYOLO training, testing, prediction output, launchers,Votes: 0GitHub stars: 247
- Mne Python"Route MNE-Python neurophysiology I/O, preprocessing,Votes: 0GitHub stars: 247
- Cli Datasets Config"Guides MNE-Python CLI entry points, dataset helpers,Votes: 0GitHub stars: 247
- Io Raw Data"Read, create, inspect, annotate, concatenate, save, and exportVotes: 0GitHub stars: 247
- Preprocessing Epochs Evoked"Guide MNE-Python event extraction, sensor-space preprocessing,Votes: 0GitHub stars: 247
- Repo Development"Guide safe MNE-Python repository maintenance and editing whileVotes: 0GitHub stars: 247
- Source Modeling Inverse"Guide MNE-Python source-space, BEM, forward, covariance, inverse,Votes: 0GitHub stars: 247
- Timefreq Stats Decoding Simulation"Guide MNE-Python time-frequency, spectral, statistics, decoding,Votes: 0GitHub stars: 247
- Visualization Reporting"Guide MNE-Python plotting, visualization backends, topomaps,Votes: 0GitHub stars: 247
- Moabb"Guide MOABB EEG and BCI benchmarking workflows: choose datasets,Votes: 0GitHub stars: 247
- Analysis And Visualization"Analyze MOABB result DataFrames or Results stores: validate scoreVotes: 0GitHub stars: 247
- Dataset Management"Select, inspect, configure, and safely load MOABB datasets,Votes: 0GitHub stars: 247
- Evaluations And Benchmarks"Choose a MOABB generalization protocol and splitter, then runVotes: 0GitHub stars: 247
- Paradigms And Pipelines"Choose a MOABB task paradigm and build a verified preprocessing,Votes: 0GitHub stars: 247
- Mobile Agent"Operate the MobileAgent repository family: GUI-Owl/Mobile-AgentVotes: 0GitHub stars: 247
- Benchmarks And Evaluation"Prepare and troubleshoot MobileAgent GUI benchmark and evaluationVotes: 0GitHub stars: 247
- Current Gui Owl"Use current Mobile-Agent-v3.5 / GUI-Owl 1.5 phone, desktop, andVotes: 0GitHub stars: 247
- Legacy Agents"Preserve, run, and migrate legacy Mobile-Agent v1, v2, and v3Votes: 0GitHub stars: 247
- Mobile Agent E"Use Mobile-Agent-E individual and self-evolution AndroidVotes: 0GitHub stars: 247
- Pc Agent"Use PC-Agent current and v1 desktop automation workflows withVotes: 0GitHub stars: 247
- Ui S1 Training"Prepare UI-S1 / verl GUI trajectory post-training, SOP evaluation,Votes: 0GitHub stars: 247
- Modal"Guides modAL-python active-learning workflows, query strategies,Votes: 0GitHub stars: 247
- Bayesian Optimization"Guides modAL BayesianOptimizer and PI/EI/UCB acquisition workflowsVotes: 0GitHub stars: 247
- Deep And Optional Integrations"Optional DeepActiveLearner, PyTorch/skorch MC-dropout, andVotes: 0GitHub stars: 247
- Learners And CommitteesRouter for ActiveLearner, Committee, and CommitteeRegressor workflows.Votes: 0GitHub stars: 247
- Query Strategies"Router for modAL uncertainty, disagreement, batch, density,Votes: 0GitHub stars: 247
- Modelscope"Use ModelScope SDK workflows for Hub access, pipelines, datasets,Votes: 0GitHub stars: 247
- Customization And Development"Extend ModelScope with custom pipelines, registered components,Votes: 0GitHub stars: 247
- Datasets Config"Operate ModelScope dataset loading, file IO, and config parsingVotes: 0GitHub stars: 247
- Hub And Cli"Use ModelScope Hub, cache, download/upload, and CLI workflowsVotes: 0GitHub stars: 247
- Pipelines And Models"Use ModelScope inference pipelines, model/preprocessor registries,Votes: 0GitHub stars: 247
- Serving Export And Tools"Serve ModelScope pipelines, plan vLLM handoffs, use exporter APIs,Votes: 0GitHub stars: 247
- Training And Evaluation"Use for ModelScope trainer construction, TrainingArgs conversion,Votes: 0GitHub stars: 247
- Modin"Guide Modin pandas-compatible, distributed dataframe, I/O, engineVotes: 0GitHub stars: 247
- Advanced Extensions"Use Modin experimental Batch Pipeline, XGBoost, spreadsheet,Votes: 0GitHub stars: 247
- Core Pandas Api"Use Modin's pandas-compatible DataFrame and Series API safely andVotes: 0GitHub stars: 247
- Engines Configuration"Configure Modin engines, backends, resources, diagnostics, andVotes: 0GitHub stars: 247
- Io Interoperability"Use Modin readers, writers, conversion APIs, glob I/O, SQLVotes: 0GitHub stars: 247
- Molecularnodes"Use MolecularNodes 5.2 in a Blender 5.2 host to import, style,Votes: 0GitHub stars: 247
- Density And Ensembles"Operate MolecularNodes density-grid and ensemble workflows in aVotes: 0GitHub stars: 247
- Molecules And Styles"Load static MolecularNodes structures, compose geometry-nodeVotes: 0GitHub stars: 247
- Scene And Rendering"Configure MolecularNodes Blender scenes, cameras, engines,Votes: 0GitHub stars: 247
- Setup And Import"Install and verify MolecularNodes in a Blender 5.2 host, thenVotes: 0GitHub stars: 247
- Trajectories And Annotations"Operate MolecularNodes Universe-backed trajectories: map BlenderVotes: 0GitHub stars: 247
- Monai"Use MONAI, the PyTorch-based medical imaging AI toolkit, forVotes: 0GitHub stars: 247
- Apps Auto3dseg"Use high-level MONAI application workflows, especially Auto3DSegVotes: 0GitHub stars: 247