GitHub
pricing
Guide for updating model pricing in Splitrail. Use when adding new AI model costs or updating existing pricing data.
☆ 104Voir le skill
Skills IA tools machine learning
Découvrez les skills tools machine learning, comparez leurs dépôts et consultez leurs instructions.
Catégories: tools machine learning
tools machine learning Effacer les filtres
Explorer
GitHub
langchain4j-ai-services-patterns
Build declarative AI Services with LangChain4j using interface-based patterns, annotations, memory management, tools integration, and advanced application patterns. Use when implementing type-safe AI-powered fe...
☆ 98Voir le skill
GitHub
signal-scoring
Use to design composite intent scoring models with decay, weighting, and governance.
☆ 90Voir le skill
GitHub
forecast-discipline
Use to drive consistent forecast methodology, grading, and inspection cadences.
☆ 90Voir le skill
GitHub
deal-quality-model
Scoring system for opportunity hygiene, win likelihood, and inspection prioritization.
☆ 90Voir le skill
GitHub
forecast-modeling
Use when designing, tuning, or auditing revenue forecast models.
☆ 90Voir le skill
GitHub
loyalty-modeling
Use to model economics, tiers, and impact forecasts for loyalty programs.
☆ 90Voir le skill
GitHub
neural-network-design
Design and architect neural networks with various architectures including CNNs, RNNs, Transformers, and attention mechanisms using PyTorch and TensorFlow
☆ 84Voir le skill
GitHub
classification-modeling
Build binary and multiclass classification models using logistic regression, decision trees, and ensemble methods for categorical prediction and classification
☆ 84Voir le skill
GitHub
feature-engineering
Create and transform features using encoding, scaling, polynomial features, and domain-specific transformations for improved model performance and interpretability
☆ 84Voir le skill
GitHub
ml-model-explanation
Interpret machine learning models using SHAP, LIME, feature importance, partial dependence, and attention visualization for explainability
☆ 84Voir le skill
GitHub
time-series-analysis
Analyze temporal data patterns including trends, seasonality, autocorrelation, and forecasting for time series decomposition, trend analysis, and forecasting models
☆ 84Voir le skill
GitHub
computer-vision
Implement computer vision tasks including image classification, object detection, segmentation, and pose estimation using PyTorch and TensorFlow
☆ 84Voir le skill
GitHub
ml-pipeline-automation
Build end-to-end ML pipelines with automated data processing, training, validation, and deployment using Airflow, Kubeflow, and Jenkins
☆ 84Voir le skill
GitHub
recommendation-engine
Build recommendation systems using collaborative filtering, content-based filtering, matrix factorization, and neural network approaches
☆ 84Voir le skill
GitHub
anomaly-detection
Identify unusual patterns, outliers, and anomalies in data using statistical methods, isolation forests, and autoencoders for fraud detection and quality monitoring
☆ 84Voir le skill
GitHub
dimensionality-reduction
Reduce feature dimensionality using PCA, t-SNE, and feature selection for feature reduction, visualization, and computational efficiency
☆ 84Voir le skill
GitHub
recommendation-system
Build collaborative and content-based recommendation engines for product recommendations, personalization, and improving user engagement
☆ 84Voir le skill
GitHub
model-deployment
Deploy machine learning models to production using Flask, FastAPI, Docker, cloud platforms (AWS, GCP, Azure), and model serving frameworks
☆ 84Voir le skill
GitHub
sentiment-analysis
Classify text sentiment using NLP techniques, lexicon-based analysis, and machine learning for opinion mining, brand monitoring, and customer feedback analysis
☆ 84Voir le skill
GitHub
regression-modeling
Build predictive models using linear regression, polynomial regression, and regularized regression for continuous prediction, trend forecasting, and relationship quantification
☆ 84Voir le skill
GitHub
causal-inference
Determine cause-and-effect relationships using propensity scoring, instrumental variables, and causal graphs for policy evaluation and treatment effects
☆ 84Voir le skill
GitHub
model-monitoring
Monitor model performance, detect data drift, concept drift, and anomalies in production using Prometheus, Grafana, and MLflow
☆ 84Voir le skill
GitHub
model-hyperparameter-tuning
Optimize hyperparameters using grid search, random search, Bayesian optimization, and automated ML frameworks like Optuna and Hyperopt
☆ 84Voir le skill
Le classement utilise les étoiles du dépôt GitHub indexé. Plusieurs skills peuvent partager ce nombre : ce n’est ni un nombre d’installations ni une note de qualité.