#automl

Open Source AI Training Hub 2026: Build Ethical Machine Learning Models

AI-powered natural-language BI platform: NL→SQL→dashboard plus a power-user SQL editor, root-cause, proactive AI digest, agentic copilot, semantic/trust layer, workspaces + RBAC + row-level security, embedded analytics + white-label, FP&A scenario planning. FastAPI + React.

AI-powered Streamlit app that profiles CSV datasets, cleans data, trains baseline ML models, generates charts, and writes analysis reports.

An agentic, self-correcting machine learning experimental loop built locally on Apple Silicon using MLX.

AI Data Scientist platform: upload any dataset, get automatic profiling, data-quality checks and insights, ask questions in plain English, and prepare model-ready data with leakage checks and time-aware splits. Growing into goal-driven AutoML with LLM, RAG and agentic AI on Azure. Python · Dash · pandas.

An automated machine learning pipeline that performs EDA, preprocessing, model training, evaluation, and best model selection for classification and regression datasets.

🐝 State-of-the-art Python AutoML metaframework — fuses GenAI (built on Firefly Agentic / Pydantic AI) with classical ML & Deep Learning. Hexagonal, secure-by-default, governed.