rasa-nlu-integration
Rasa NLU pipeline configuration and training for intent and entity extraction
Rasa NLU pipeline configuration and training for intent and entity extraction
Automated Big-O complexity analysis of code and algorithms. Performs static analysis of loop structures, recursive call trees, space complexity estimation, and amortized analysis with detailed derivation documents.
Maintain and match against a library of classic dynamic programming patterns. Provides pattern matching, template code generation, variant detection, and problem-to-pattern mapping for DP problems.
Model optimization problems as network flow problems
Generate optimized prime sieves and factorization routines
Assist in constructing algorithm correctness proofs
Generates semantic layer definitions for BI tools from dimensional models
Validates dimensional models against Kimball methodology best practices
Optimizes feature engineering pipelines and feature store configurations
BentoML skill for model packaging, serving, and containerization.
Fairness assessment skill using Fairlearn for bias detection, mitigation, and compliance reporting.
Optuna integration skill for automated hyperparameter optimization with advanced search strategies, pruning, multi-objective optimization, and visualization capabilities.
PyTorch model training skill with custom training loops, gradient management, and GPU optimization.
Distributed computing skill using Ray for parallel training, hyperparameter search, and resource management.
Seldon Core deployment skill for model serving, A/B testing, and canary deployments on Kubernetes.
Scikit-learn model training skill with cross-validation, hyperparameter tuning, pipeline construction, and model serialization. Enables automated ML model development using scikit-learn's comprehensive toolkit.
TensorFlow/Keras model training skill with callbacks, distributed strategies, and TensorBoard integration.
Agent-based modeling skill for simulating complex adaptive systems with heterogeneous interacting agents
Bayesian network construction and inference skill for probabilistic reasoning, causal analysis, and belief updating
Probability calibration training skill for improving forecast accuracy and reducing overconfidence
Genetic algorithm skill for complex optimization problems with non-linear objectives or discontinuous search spaces
Monte Carlo simulation engine skill for probabilistic modeling, risk quantification, and uncertainty propagation
Pre-mortem analysis skill for prospective hindsight and failure mode identification
PROMETHEE (Preference Ranking Organization Method for Enrichment Evaluation) skill for outranking-based multi-criteria analysis