TL;DR: EpochGo is an open-source, local-first AutoML system that uses offline Ollama LLMs for orchestration and Scikit-Learn pipelines for deterministic execution, addressing cloud costs and data privacy.
Summary: EpochGo is a new open-source AutoML engine designed to run entirely locally. It leverages Ollama-powered LLMs (e.g., qwen2.5-coder:7b) as an orchestrator for reasoning over data schema and drafting ML strategies, while all data transformations and model fits are executed deterministically via Scikit-Learn pipelines. This architecture separates reasoning from execution, ensuring data privacy and reducing reliance on cloud APIs.
Why it matters: This offers a compelling alternative for indie developers and enterprises seeking to build ML solutions without incurring cloud inference costs or risking data leakage. Experiment with EpochGo to develop privacy-preserving, cost-effective AutoML workflows, especially for tabular data.
Source: reddit