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ml-tools

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🧠 NeuroForge is an intuitive drag-and-drop tool for building and training neural networks, featuring data preprocessing, interactive visualizations, and automated model architecture design. Built with PyTorch and Streamlit, it simplifies the deep learning workflow from data preparation to model deployment with GPU acceleration support.

  • Updated Nov 18, 2024
  • Python

RetroML is a nostalgic, configuration-driven AutoML pipeline that brings a ‘90s flair to modern machine learning workflows. It allows users to run ML classification tasks via JSON configs, with optional support for interactive UIs and demos (e.g., customer churn prediction).

  • Updated Aug 2, 2025
  • Python

Smart ML Helper 🧠⚡ Smart ML Helper is a lightweight and practical toolkit designed to simplify everyday machine learning tasks. It helps data scientists and students speed up their workflow by providing ready-to-use utilities for: 📊 Data Preprocessing – Handle missing values, encode categorical data, scale features, and auto-clean datasets.

  • Updated Aug 21, 2025
  • Jupyter Notebook

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