Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
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Updated
Apr 29, 2024 - Python
Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
Fast and customizable framework for automatic ML model creation (AutoML)
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
Automatic Machine Learning Model Creation with GUI and Python.
Encodings for neural architecture search
The Cerebros package is an ultra-precise Neural Architecture Search (NAS) / AutoML that is intended to much more closely mimic biological neurons than conventional neural network architecture strategies.
Everything for the Paper: 'Evoke: Evoking Critical Thinking Abilities in LLMs via Reviewer-Author Prompt Editing'
An autoML for explainable text classification.
a library to tune xgboost models
A SapientML plugin of SapientMLGenerator
autoEnsemble : An AutoML Algorithm for Building Homogeneous and Heterogeneous Stacked Ensemble Models by Searching for Diverse Base-Learners
This repository contains an implementation of TPOT for obtaining optimal pipelines with the use of genetic algorithms.
Awesome papers on AutoML (Automatic Machine Learning)
Knowledge-driven AutoML
AutoML as a Service.
Automated Machine Learning with Neural Architecture Search (AutoML with NAS). I try to collect papers when I make a review in this field.
Shrinkit is a powerful GUI-based Python library designed for automating machine learning tasks. With its intuitive interface, Shrinkit simplifies the process of building, training, and evaluating machine learning models, making it accessible to users of all skill levels. Shrinkit is a No-code package which can be used as a GUI.
mlopt is an AutoML library. Implementing some meta-heuristics optimization algorithms to generate fully trained and hyper parameterized ML models. The most used are Genetic Algorithm, PSO Algorithm and ACO Algorithm.
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