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Claude Skills by VectorSpaceLab
github.com/VectorSpaceLab6,028 skills74 installs15,373 views
- Unsupervised And Reduction"Use this sub-skill for MLAlgorithms clustering, Gaussian mixtures,Votes: 0GitHub stars: 247
- Ml From Scratch"Route ML-From-Scratch educational supervised, unsupervised,Votes: 0GitHub stars: 247
- Deep Learning"Assemble and debug ML-From-Scratch NeuralNetwork, layers,Votes: 0GitHub stars: 247
- Reinforcement Learning"Operate ML-From-Scratch DeepQNetwork CartPole workflows, modelVotes: 0GitHub stars: 247
- Supervised Learning"Select, fit, predict, and debug ML-From-Scratch supervisedVotes: 0GitHub stars: 247
- Unsupervised Learning"Run and debug ML-From-Scratch unsupervised PCA, clustering,Votes: 0GitHub stars: 247
- Ml Glossary"Routes self-contained ML Glossary knowledge for machine-learningVotes: 0GitHub stars: 247
- Basics And Math"Explains ML Glossary foundations including glossary terms,Votes: 0GitHub stars: 247
- Classical Algorithms"Explains ML Glossary classical algorithm families includingVotes: 0GitHub stars: 247
- Neural Networks"Explains ML Glossary neural-network concepts, forward andVotes: 0GitHub stars: 247
- Mlflow"Use this skill for MLflow repository work: experiment tracking,Votes: 0GitHub stars: 247
- Genai Observability"Use for MLflow GenAI observability work: tracing, traceVotes: 0GitHub stars: 247
- Models And Flavors"Use this sub-skill for MLflow Models, pyfunc, flavor APIs,Votes: 0GitHub stars: 247
- Serving And Projects"Use when working with MLflow CLI commands, tracking servers,Votes: 0GitHub stars: 247
- Tracking And Registry"Use this MLflow sub-skill for experiment tracking, runs, params,Votes: 0GitHub stars: 247
- Mljar Supervised"Use MLJAR AutoML for tabular classification, regression,Votes: 0GitHub stars: 247
- App Deployment"Generate, inspect, serve locally, and publish Mercury predictionVotes: 0GitHub stars: 247
- Artifacts Reports"Use mljar-supervised AutoML artifacts, reports, structuredVotes: 0GitHub stars: 247
- Data Preprocessing"Prepare MLJAR-Supervised data, targets, preprocessing choices, andVotes: 0GitHub stars: 247
- Fairness WorkflowsConfigure and inspect fairness-aware AutoML workflows in mljar-supervised.Votes: 0GitHub stars: 247
- Training Core"Train, configure, evaluate, and use supervised.AutoML for tabularVotes: 0GitHub stars: 247
- Mlx Audio"Use MLX Audio for local TTS, STT, speech enhancement, VAD,Votes: 0GitHub stars: 247
- Server And Conversion"Use MLX Audio for the API server, realtime WebSockets, Studio UIVotes: 0GitHub stars: 247
- Speech Transforms Vad"Use MLX Audio for speech enhancement, source separation, VAD,Votes: 0GitHub stars: 247
- Stt Transcription"Use MLX Audio STT workflows for transcription, streaming ASR,Votes: 0GitHub stars: 247
- Tts Generation"Use MLX Audio TTS workflows for generation, voice cloning,Votes: 0GitHub stars: 247
- Mlxtend"Use mlxtend machine-learning extension utilities for estimatorVotes: 0GitHub stars: 247
- Estimators And Ensembles"Use mlxtend sklearn-style classifiers, regressors, Kmeans, votingVotes: 0GitHub stars: 247
- Evaluation And Validation"Use mlxtend.evaluate metrics, validation splitters, resamplingVotes: 0GitHub stars: 247
- Feature Workflows"Use mlxtend feature selection, feature extraction, preprocessing,Votes: 0GitHub stars: 247
- Frequent Patterns"Mine frequent itemsets and association rules from transaction dataVotes: 0GitHub stars: 247
- Plotting And Utilities"Use mlxtend plotting helpers, packaged data loaders, file IO,Votes: 0GitHub stars: 247
- Mmaction2"Use MMAction2 for video understanding inference, datasets/configs,Votes: 0GitHub stars: 247
- Data And Configs"Prepare and validate MMAction2 data annotations, pipelines, configVotes: 0GitHub stars: 247
- Inference And Demos"Use MMAction2 inference APIs, inferencers, labels, visualizationVotes: 0GitHub stars: 247
- Models And Extension"Understand MMAction2 model families, registries, customization,Votes: 0GitHub stars: 247
- Training And Evaluation"Plan MMAction2 training, testing, distributed launch, evaluation,Votes: 0GitHub stars: 247
- Mmaudio"Route MMAudio video-to-audio, text-to-audio, data preparation,Votes: 0GitHub stars: 247
- Data PreparationPrepare MMAudio audio/video feature manifests, memmaps, and extraction plans.Votes: 0GitHub stars: 247
- Evaluation"Operate MMAudio batch evaluation, evaluation dataset wiring, andVotes: 0GitHub stars: 247
- Inference"Operate MMAudio inference for text-to-audio, video-to-audio,Votes: 0GitHub stars: 247
- Training"Route MMAudio DDP training, smoke runs, checkpoint resume, EMAVotes: 0GitHub stars: 247
- Mmcv"Use MMCV 2.2.0 for computer-vision media utilities, transformVotes: 0GitHub stars: 247
- Cnn Model Building"Build CPU-safe PyTorch CNN layers and model helpers with MMCVVotes: 0GitHub stars: 247
- Data Transforms"Compose, customize, inspect, and troubleshoot MMCV dict-style dataVotes: 0GitHub stars: 247
- Media Processing"Use MMCV image, video, optical-flow, visualization, and arrayVotes: 0GitHub stars: 247
- Ops And Builds"Choose MMCV package variants, inspect compiled ops availability,Votes: 0GitHub stars: 247
- Mmdeploy"Route MMDeploy model deployment, backend setup, SDK runtime,Votes: 0GitHub stars: 247
- Backends"Select, install, check, and troubleshoot MMDeploy inferenceVotes: 0GitHub stars: 247
- Conversion"Convert OpenMMLab/PyTorch models with MMDeploy, including IRVotes: 0GitHub stars: 247