A very minimal ml project template that uses HF transformers and wandb to train a simple NN and evaluate it, in a stateless manner compatible with Spot instances kubernetes workflows

An template that is specifically designed to demonstrate symbolic musical machine learning models on the web. The template comes with a small codebase, is open source, and is meant to be easy to use by any practitioners to implement their own demonstrations.

AI-Assisted DAO Treasury is a developer template that demonstrates a minimal on-chain DAO treasury with off-chain ML-assisted proposals.

A starter template for a self-learning crypto trading bot. Includes Python backend scripts for data ingestion, feature engineering, a simple ML model (Random Forest), a self-learning loop, backtesting utilities, sample reports, and a minimal web placeholder. This is a template- you'll need to add your own API keys

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A minimal cookiecutter template for ML / RL projects.

Minimal, research-oriented PyTorch template for reproducible ML experiments.

Minimal DS/ML project template

A minimal template for productionizing ml models

Minimal ML template with a simple data pipeline and model registry.

Minimal version of ml_utilities. Can be used as template for new projects with own trainer.

Mini ML, /ˈmɪnɪm(ə)l/ A minimal JavaScript templating system with basic state management using tagged template literals and pure functions.

Minimal experiment template for fast AI/ML micro-labs with clean setup, validation, and agent-friendly docs.

Use this template if you need a quick ML | DL Engineer resume! Based on a Minimal Jekyll theme for GitHub Pages.

Primitive but complete template for ML in quantitative analysis. Many people are interested in ML for finance, but public materials are scarce. This repo shows a minimal end-to-end workflow: data → features → walk-forward training → risk-aware backtest → monitoring.