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Claude Skills by VectorSpaceLab
github.com/VectorSpaceLab6,028 skills74 installs15,373 views
- Neuromancer"Guide NeuroMANCER 1.5.6 differentiable scientific machine-learningVotes: 0GitHub stars: 247
- Control Simulation"Assemble safe NeuroMANCER open- and closed-loop rollouts withVotes: 0GitHub stars: 247
- Data Training"Route NeuroMANCER data preparation and CPU-first trainingVotes: 0GitHub stars: 247
- Dynamics Modeling"Construct and route NeuroMANCER neural blocks, continuous andVotes: 0GitHub stars: 247
- Structured Operators"Route pure-Python NeuroMANCER SLiM maps, structured recurrentVotes: 0GitHub stars: 247
- Symbolic Problems"Formulate and diagnose NeuroMANCER symbolic variables, objectives,Votes: 0GitHub stars: 247
- Newton"Use Newton physics engine APIs for robotics simulation, solvers,Votes: 0GitHub stars: 247
- Asset Import Export"Use Newton URDF, MJCF, USD, schema resolver, mesh, remesh,Votes: 0GitHub stars: 247
- Modeling Simulation"Build, step, and debug core Newton simulation models, states,Votes: 0GitHub stars: 247
- Robotics Control"Use Newton robotics APIs for actuators, controllers, inverseVotes: 0GitHub stars: 247
- Sensors Visualization"Use Newton sensors, viewer backends, example CLI, recording,Votes: 0GitHub stars: 247
- Solvers ContactsChoose and configure Newton solvers and contact/collision workflows.Votes: 0GitHub stars: 247
- Nexent"Route Nexent SDK, backend, frontend, knowledge/memory, andVotes: 0GitHub stars: 247
- Backend Services Api"Operate Nexent backend FastAPI app/service/database changes,Votes: 0GitHub stars: 247
- Deployment Operations"Operate Nexent Docker, Kubernetes, offline deployment, SQLVotes: 0GitHub stars: 247
- Frontend Integration"Routes Nexent frontend App Router work, service clients, typed APIVotes: 0GitHub stars: 247
- Knowledge Data Memory"Operate Nexent document processing, knowledge-base vector search,Votes: 0GitHub stars: 247
- Sdk Agent Runtime"Operate Nexent SDK agent runtime, streaming execution, models,Votes: 0GitHub stars: 247
- Nilearn"Use and maintain Nilearn, the Python neuroimaging package forVotes: 0GitHub stars: 247
- Data Io Signal"Handle Nilearn Niimg image I/O, volume image operations,Votes: 0GitHub stars: 247
- Datasets Interfaces"Use Nilearn dataset/template/atlas fetchers and public interfacesVotes: 0GitHub stars: 247
- Development Maintenance"Make safe Nilearn checkout code, test, documentation, changelog,Votes: 0GitHub stars: 247
- Glm Analysis"Build Nilearn first-level and second-level GLM workflows,Votes: 0GitHub stars: 247
- Maskers Regions"Choose and use Nilearn maskers, atlas region extraction, inverseVotes: 0GitHub stars: 247
- Ml Decoding Connectivity"Use Nilearn supervised decoding, searchlight, SpaceNet/FREM,Votes: 0GitHub stars: 247
- Plotting Reporting"Create Nilearn plots, interactive views, surface visualizations,Votes: 0GitHub stars: 247
- Surface Workflows"Work with Nilearn surface meshes, surface images,Votes: 0GitHub stars: 247
- Nitrain"Routes Nitrain medical-imaging dataset, preprocessing, training,Votes: 0GitHub stars: 247
- Datasets Readers"Build Nitrain datasets from files, CSV/TSV columns, folder labels,Votes: 0GitHub stars: 247
- Models Training"Fetch Nitrain architectures and train or evaluate Keras/TensorFlowVotes: 0GitHub stars: 247
- Prediction And Explanation"Run Nitrain prediction workflows and inspect the currentVotes: 0GitHub stars: 247
- Preprocessing And Loading"Apply Nitrain transforms, random augmentation, samplers, andVotes: 0GitHub stars: 247
- Nlp Progress"Routes tasks for using NLP-progress as a multilingual NLPVotes: 0GitHub stars: 247
- Benchmark Catalog"Helps agents find, interpret, and cite NLP-progress benchmark,Votes: 0GitHub stars: 247
- Content Maintenance"Helps maintain NLP-progress Markdown task pages by adding orVotes: 0GitHub stars: 247
- Structured Export"Guides NLP-progress structured JSON export, Markdown parserVotes: 0GitHub stars: 247
- Nltk"Use NLTK for classical natural-language processing in Python:Votes: 0GitHub stars: 247
- Data And Downloader"Configure NLTK data search paths, download only needed NLTK dataVotes: 0GitHub stars: 247
- Grammar Parse Semantics"Use NLTK grammars, parsers, chunkers, trees, dependency graphs,Votes: 0GitHub stars: 247
- Ml Metrics And Translation"Use NLTK classical ML, probability, language modeling, metrics,Votes: 0GitHub stars: 247
- Tokenize Tag Stem"Use NLTK tokenization, detokenization, POS tagging, taggerVotes: 0GitHub stars: 247
- Nni"Use NNI for AutoML experiments, hyperparameter tuning, neuralVotes: 0GitHub stars: 247
- Feature Engineering And Utilities"Use NNI feature selectors and standalone utilities for tabularVotes: 0GitHub stars: 247
- Hpo Experiments"Use NNI HPO experiments, nnictl, ExperimentConfig, trial metricVotes: 0GitHub stars: 247
- Model Compression"Use NNI model compression for pruning, quantization, distillation,Votes: 0GitHub stars: 247
- Nas"Use NNI neural architecture search with model spaces, mutables,Votes: 0GitHub stars: 247
- Nnunetv2"Use nnU-Net v2 for medical image segmentation workflows: datasetVotes: 0GitHub stars: 247
- Customization Extension"Extend nnU-Net v2 with custom trainers, planners, preprocessors,Votes: 0GitHub stars: 247
- Data Preparation"Prepare nnU-Net v2-compatible datasets, path variables,Votes: 0GitHub stars: 247
- Inference Evaluation"Run nnU-Net v2 prediction from dataset/results or explicit modelVotes: 0GitHub stars: 247