Ludwig

Ludwig

Uber AI
Ray

Ray

Anyscale
+
+

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About

Ludwig is a low-code framework for building custom AI models like LLMs and other deep neural networks. Build custom models with ease: a declarative YAML configuration file is all you need to train a state-of-the-art LLM on your data. Support for multi-task and multi-modality learning. Comprehensive config validation detects invalid parameter combinations and prevents runtime failures. Optimized for scale and efficiency: automatic batch size selection, distributed training (DDP, DeepSpeed), parameter efficient fine-tuning (PEFT), 4-bit quantization (QLoRA), and larger-than-memory datasets. Expert level control: retain full control of your models down to the activation functions. Support for hyperparameter optimization, explainability, and rich metric visualizations. Modular and extensible: experiment with different model architectures, tasks, features, and modalities with just a few parameter changes in the config. Think building blocks for deep learning.

About

Develop on your laptop and then scale the same Python code elastically across hundreds of nodes or GPUs on any cloud, with no changes. Ray translates existing Python concepts to the distributed setting, allowing any serial application to be easily parallelized with minimal code changes. Easily scale compute-heavy machine learning workloads like deep learning, model serving, and hyperparameter tuning with a strong ecosystem of distributed libraries. Scale existing workloads (for eg. Pytorch) on Ray with minimal effort by tapping into integrations. Native Ray libraries, such as Ray Tune and Ray Serve, lower the effort to scale the most compute-intensive machine learning workloads, such as hyperparameter tuning, training deep learning models, and reinforcement learning. For example, get started with distributed hyperparameter tuning in just 10 lines of code. Creating distributed apps is hard. Ray handles all aspects of distributed execution.

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Platforms Supported

Windows
Mac
Linux
Cloud
On-Premises
iPhone
iPad
Android
Chromebook

Audience

Developers interested in a low-code framework to build custom AI models like LLMs and other deep neural networks

Audience

ML and AI Engineers, Software Developers

Support

Phone Support
24/7 Live Support
Online

Support

Phone Support
24/7 Live Support
Online

API

Offers API

API

Offers API

Screenshots and Videos

Screenshots and Videos

Pricing

No information available.
Free Version
Free Trial

Pricing

Free
Free Version
Free Trial

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Reviews/Ratings

Overall 0.0 / 5
ease 0.0 / 5
features 0.0 / 5
design 0.0 / 5
support 0.0 / 5

This software hasn't been reviewed yet. Be the first to provide a review:

Review this Software

Training

Documentation
Webinars
Live Online
In Person

Training

Documentation
Webinars
Live Online
In Person

Company Information

Uber AI
Founded: 2016
United States
ludwig.ai/latest/

Company Information

Anyscale
Founded: 2019
United States
ray.io

Alternatives

DeepSpeed

DeepSpeed

Microsoft

Alternatives

MLBox

MLBox

Axel ARONIO DE ROMBLAY
Keepsake

Keepsake

Replicate
Neural Designer

Neural Designer

Artelnics

Categories

Categories

Integrations

Kubernetes
MLflow
Python
Aim
Amazon EC2 Trn2 Instances
Amazon SageMaker
Amazon Web Services (AWS)
Anyscale
Apache Airflow
Comet
Databricks Data Intelligence Platform
Docker
Flyte
Google Kubernetes Engine (GKE)
Hugging Face
PyTorch
RAY
Triton
Union Cloud
Weights & Biases

Integrations

Kubernetes
MLflow
Python
Aim
Amazon EC2 Trn2 Instances
Amazon SageMaker
Amazon Web Services (AWS)
Anyscale
Apache Airflow
Comet
Databricks Data Intelligence Platform
Docker
Flyte
Google Kubernetes Engine (GKE)
Hugging Face
PyTorch
RAY
Triton
Union Cloud
Weights & Biases
Claim Ludwig and update features and information
Claim Ludwig and update features and information
Claim Ray and update features and information
Claim Ray and update features and information