Difference between revisions of "Ludwig"
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* [[Libraries & Frameworks Overview]] ... [[Libraries & Frameworks]] ... [[Git - GitHub and GitLab]] ... [[Other Coding options]] | * [[Libraries & Frameworks Overview]] ... [[Libraries & Frameworks]] ... [[Git - GitHub and GitLab]] ... [[Other Coding options]] | ||
| − | * [[Algorithm Administration#Automated Learning|Automated Learning]] | + | * [[Artificial General Intelligence (AGI) to Singularity]] ... [[Inside Out - Curious Optimistic Reasoning| Curious Reasoning]] ... [[Emergence]] ... [[Moonshots]] ... [[Explainable / Interpretable AI|Explainable AI]] ... [[Algorithm Administration#Automated Learning|Automated Learning]] |
* [[Neural Architecture]] | * [[Neural Architecture]] | ||
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Latest revision as of 19:09, 8 September 2023
YouTube search... ...Google search
- Libraries & Frameworks Overview ... Libraries & Frameworks ... Git - GitHub and GitLab ... Other Coding options
- Artificial General Intelligence (AGI) to Singularity ... Curious Reasoning ... Emergence ... Moonshots ... Explainable AI ... Automated Learning
- Neural Architecture
YouTube search... ...Google search
- Ludwig a Python toolbox from Uber that allows to train and test deep learning models without the need to write code. A new data type-based approach to deep learning model design that makes the tool suited for many different applications. Experienced users have deep control over model building and training, while newcomers will find it easy to use. Python
- Introducing Ludwig, a Code-Free Deep Learning Toolbox | Piero Molino, Yaroslav Dudin, and Sai Sumanth Miryala - Uber Engineering
