Skills with input "Training data"

scikit-learn - Build and evaluate scikit-learn ML workflows

Python machine learning scikit-learn supervised learning

★ 2 · Updated 2026-10-01

Use scikit-learn for supervised and unsupervised learning, preprocessing, evaluation, hyperparameter tuning, and reproducible ML pipelines.

⚙ Build classification models ⚙ Build regression models ⚙ Perform clustering

moe-training - Train sparse Mixture of Experts models

Mixture of Experts Sparse Models DeepSpeed Expert Parallelism

★ 3 · Updated 2026-09-29

Train and optimize sparse Mixture of Experts models with DeepSpeed or HuggingFace, including routing, load balancing, expert parallelism, and inference optimization.

⚙ Implement sparse MoE architectures ⚙ Configure top-k routing ⚙ Balance expert utilization

llm-config - LLM Configuration

swarmllm inference microlora sona

★ 2 · Updated 2026-09-10

Configure SwarmLLM local inference with model selection, MicroLoRA fine-tuning, and SONA adaptation.

⚙ Check model and adapter status ⚙ Generate LLM inference config ⚙ Create MicroLoRA task adapters

Model Bias Fairness - Identify and Mitigate AI Model Bias

model bias fairness AI ethics prediction validation

★ 1 · Updated 2026-03-23

Identifies systematic prejudices in AI systems and ensures fair predictions across protected attributes

⚙ Identify model bias ⚙ Detect prejudiced patterns ⚙ Ensure fair predictions

data-visualization-expert - Data Visualization Expert

data-visualization machine-learning analytics dashboard

★ 0 · Updated 2026-02-12

Create data visualizations with chart selection, color theory, interactive dashboards, and storytelling through data

⚙ Create data visualizations ⚙ Select charts ⚙ Apply color theory