LightAutoML is an automated machine learning (AutoML) framework developed by Sberbank AI Lab, designed to facilitate the development of machine learning models with minimal human intervention.
Features
- Provides automated feature engineering and selection
- Supports various machine learning algorithms and model ensembling
- Offers tools for hyperparameter optimization
- Includes functionalities for model validation and evaluation
- Supports both tabular and text data
- Open-source and designed for scalability
Project Samples
Categories
Natural Language Processing (NLP)License
MIT LicenseFollow Self-Attentive Parser
You Might Also Like
Gen AI apps are built with MongoDB Atlas
MongoDB Atlas is the developer-friendly database used to build, scale, and run gen AI and LLM-powered apps—without needing a separate vector database. Atlas offers built-in vector search, global availability across 115+ regions, and flexible document modeling. Start building AI apps faster, all in one place.
Rate This Project
Login To Rate This Project
User Reviews
Be the first to post a review of Self-Attentive Parser!