Project Title

ludwig — Low-code Framework for Custom AI Models and Deep Neural Networks

Overview

Ludwig is a low-code, declarative deep learning framework designed for building custom AI models, including LLMs and neural networks, with ease and efficiency. It stands out for its ability to handle multi-task and multi-modality learning, offering comprehensive configuration validation and support for large-scale distributed training.

Key Features

Custom Model Building: Easily build custom models using a YAML configuration file.
Optimized for Scale: Features automatic batch size selection and distributed training capabilities.
Expert Control: Full control over model parameters, including activation functions.
Modular and Extensible: Easily experiment with different model architectures and features.
Production Readiness: Supports Docker, Kubernetes, and model export to Torchscript and Triton.

Use Cases

Data Scientists: Quickly prototype and train custom AI models with minimal code.
Enterprises: Deploy AI models at scale with optimized performance and resource management.
Researchers: Experiment with different architectures and modalities for deep learning research.

Advantages

Ease of Use: Reduces the complexity of building AI models with a declarative approach.
Scalability: Supports large datasets and distributed training for efficient model training.
Flexibility: Offers a high degree of customization and control over model parameters.

Limitations / Considerations

Learning Curve: May require understanding of YAML configuration and deep learning concepts.
Dependency Management: Requires Python 3.8+ and careful handling of optional dependencies.

Hugging Face Transformers: A library of pre-trained models for NLP, differing in its focus on pre-trained models rather than custom model building.
PyTorch Lightning: A lightweight PyTorch wrapper for rapid development, differing in its more general approach to deep learning model development.
TensorFlow: A comprehensive ecosystem for machine learning, differing in its broader scope and more extensive feature set.

Basic Information

GitHub: https://github.com/ludwig-ai/ludwig
Stars: 11,587
License: Unknown
Last Commit: 2025-09-20

📊 Project Information

Project Name: ludwig
GitHub URL: https://github.com/ludwig-ai/ludwig
Programming Language: Python
⭐ Stars: 11,587
🍴 Forks: 1,218
📅 Created: 2018-12-27
🔄 Last Updated: 2025-09-20

🏷️ Project Topics

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