Skills tagged "machine-learning"

mlops-engineer - Build scalable ML infrastructure and automation pipelines.
mlops machine-learning kubeflow mlflow
★ 0 · Updated 2026-09-24
Builds ML pipelines, tracks experiments, and manages model registries using MLflow, Kubeflow, cloud platforms, and modern MLOps tools.
⚙ Build scalable ML infrastructure ⚙ Orchestrate ML pipelines ⚙ Track experiments and models
aeon - Time series machine learning toolkit
time-series machine-learning python scikit-learn
★ 0 · Updated 2026-09-23
Provides scikit-learn compatible algorithms for time series classification, regression, clustering, forecasting, anomaly detection, and similarity search.
⚙ Classify time series data ⚙ Predict continuous values ⚙ Cluster time series patterns
data-scientist - Guide data science, machine learning, and analytics tasks.
data-science machine-learning statistical-modeling analytics
★ 0 · Updated 2026-09-23
Assists with advanced analytics, machine learning, statistical modeling, exploratory data analysis, and model deployment.
⚙ Perform statistical analysis and testing ⚙ Build machine learning predictive models ⚙ Conduct exploratory data analysis
machine-learning-ops-ml-pipeline - Machine Learning Pipeline - Multi-Agent MLOps Orchestration
mlops machine-learning pipeline multi-agent
★ 0 · Updated 2026-09-23
Designs and implements end-to-end machine learning pipelines using multi-agent orchestration for data, training, deployment, and monitoring.
⚙ Design data pipelines ⚙ Implement model training workflows ⚙ Optimize machine learning code
data-scientist - Expert data scientist for analytics and machine learning.
data-science machine-learning statistical-analysis predictive-modeling
★ 46,798 · Updated 2026-09-23
Handles complex data analysis, predictive modeling, machine learning, statistical modeling, and business intelligence.
⚙ Perform statistical analysis and testing ⚙ Build machine learning models ⚙ Conduct exploratory data analysis
senior-data-scientist - Senior Data Scientist for AI and Data Systems
data-science ab-testing causal-inference machine-learning
★ 3 · Updated 2026-09-21
Provides workflows for statistical modeling, A/B testing, feature engineering, model evaluation, and causal inference.
⚙ Design A/B tests ⚙ Calculate experiment sample size ⚙ Build feature engineering pipelines
predictive-personalization - Predictive Personalization
personalization machine-learning recommendations ecommerce
★ 0 · Updated 2026-09-21
Uses machine learning models to predict customer preferences and deliver personalized product recommendations, content, and offers based on behavioral signals.
⚙ Select personalization tools ⚙ Set up product recommendations ⚙ Personalize email product blocks
kaggle-hill-climbing - Hill Climbing Ensemble
kaggle ensemble hill-climbing model-blending
★ 2 · Updated 2026-09-20
Build an ensemble using greedy forward selection, CuPy vectorized metric computation, and SciPy weight optimization.
⚙ Load out-of-fold predictions ⚙ Evaluate individual model performance ⚙ Perform greedy forward selection
pennylane - Quantum machine learning library with auto-differentiation.
quantum-computing machine-learning automatic-differentiation quantum-circuits
★ 1 · Updated 2026-09-20
PennyLane enables building, differentiating, and optimizing hybrid quantum-classical models across simulators and quantum hardware backends.
⚙ Construct quantum circuits ⚙ Train hybrid quantum models ⚙ Simulate quantum chemistry
ml-cluster - Find natural groups in data and label them
machine-learning clustering unsupervised-learning data-segmentation
★ 0 · Updated 2026-09-19
Find natural groups in a dataset using unsupervised clustering, then label each group with a plain-language description.
⚙ Check environment and load dataset ⚙ Generate feature or text representations ⚙ Reduce representation dimensionality using UMAP
ml-experiment-tracker - Guide for ML experiment tracking and reproducibility.
machine-learning experiment-tracking mlflow wandb
★ 0 · Updated 2026-09-18
Guides ML experiment logging, versioning, and reproducibility using tools like MLflow, Weights & Biases, and DVC for systematic model development.
⚙ Log machine learning experiments ⚙ Track parameters and metrics ⚙ Version datasets and pipelines
academic-paper-writing - Academic paper writing for CS and AI
academic-writing computer-vision machine-learning robotics
★ 5 · Updated 2026-09-18
Drafts, revises, and polishes academic manuscripts in computer vision, machine learning, robotics, and image processing.
⚙ Draft academic paper manuscripts ⚙ Revise narrative structure and arguments ⚙ Polish tone and eliminate buzzwords
pytorch-lightning - PyTorch Lightning Deep Learning Framework
pytorch-lightning pytorch deep-learning distributed-training
★ 0 · Updated 2026-09-17
Organize PyTorch code into LightningModules, configure Trainers, implement data pipelines, callbacks, logging, and distributed training strategies.
⚙ Organize PyTorch models into LightningModules ⚙ Configure Trainers for multi-device training ⚙ Implement data pipelines using LightningDataModules
transformers - Work with pre-trained transformer models and fine-tune.
transformers huggingface machine-learning nlp
★ 0 · Updated 2026-09-16
Access pre-trained transformer models for NLP, vision, audio, and multimodal tasks, including inference, tokenization, and fine-tuning.
⚙ Load pre-trained models ⚙ Run pipeline inference ⚙ Generate text using decoding strategies
voorspellen-classificatie - Classification Prediction
classification machine-learning prediction scikit-learn
★ 0 · Updated 2026-09-15
Builds and evaluates classification prediction models for categorical outcomes based on individual prediction quality.
⚙ Verify classification task applicability ⚙ Collect user preferences via intake ⚙ Preprocess data using sklearn pipelines
bmad-ml-sage - Sage: Mathematical foundations and theory specialist
machine-learning mathematics optimization-theory statistical-learning
★ 0 · Updated 2026-09-13
Provides mathematical analysis, theoretical proofs, and convergence guarantees for machine learning models.
⚙ Perform theoretical mathematical analysis ⚙ Analyze convergence assumptions ⚙ Formulate mathematical model architecture
arxiv-watcher - Research paper monitoring and summarization
arxiv research papers machine-learning
★ 1 · Updated 2026-09-11
Monitors ArXiv for new papers by topic, author, or keyword and provides summaries.
⚙ Parse research interests ⚙ Query ArXiv API ⚙ Filter papers by date
arxiv-watcher - Monitor and summarize ArXiv research papers
arxiv research papers machine-learning
★ 38 · Updated 2026-09-11
Monitors ArXiv for new research papers by topic, author, or keyword and summarizes relevant publications.
⚙ Query ArXiv API for papers ⚙ Filter papers by date range ⚙ Summarize paper key contributions
discover-ml - Discover machine learning and AI skills automatically.
machine-learning ai skill-discovery progressive-loading
★ 602 · Updated 2026-09-11
Automatically discovers machine learning and AI skills when working on machine learning development tasks.
⚙ Discover machine learning skills automatically ⚙ Enable progressive skill loading ⚙ Load full category index
embedding-analysis - Dataset Embedding Analysis
embeddings data-quality dataset-curation deduplication
★ 308 · Updated 2026-06-30
Compute and analyze embeddings for dataset quality, distribution comparison, deduplication, and diversity measurement
⚙ generate embeddings ⚙ semantic deduplication ⚙ compare distributions

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