salesforce/TransmogrifAI
TransmogrifAI (pronounced trăns-mŏgˈrə-fī) is an AutoML library for building modular, reusable, strongly typed machine learning workflows on Apache Spark with minimal hand-tuning
Building accurate prediction models usually takes data scientists months of work. This library helps machine learning developers quickly build high-quality machine learning models for structured data, like customer records or sales figures. You input your raw datasets, and it outputs a production-ready predictive model along with insights into what drives its predictions.
2,272 stars. No commits in the last 6 months.
Use this if you are a machine learning developer working with Apache Spark and want to automate much of the model building process to save time and effort.
Not ideal if you need fine-grained, manual control over every aspect of feature engineering and model selection for highly specialized or experimental machine learning tasks.
Stars
2,272
Forks
401
Language
Scala
License
BSD-3-Clause
Category
Last pushed
Sep 29, 2023
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/transformers/salesforce/TransmogrifAI"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Related models
huggingface/transformers.js
State-of-the-art Machine Learning for the web. Run 🤗 Transformers directly in your browser, with...
huggingface/transformers.js-examples
A collection of 🤗 Transformers.js demos and example applications
daviddaytw/react-native-transformers
Run local LLM from Huggingface in React-Native or Expo using onnxruntime.
jobergum/browser-ml-inference
Edge Inference in Browser with Transformer NLP model
volverjs/ai
Hugging Face Transformers.js wrapper for on-device AI with web-workers