autoai

Model finder

A Python-based framework for automating the process of finding and training the best-performing machine learning model for regression and classification tasks on numerical data.

Python based framework for Automatic AI for Regression and Classification over numerical data. Performs model search, hyper-parameter tuning, and high-quality Jupyter Notebook code generation.

GitHub

174 stars
6 watching
43 forks
Language: Python
last commit: 3 months ago
Linked from 1 awesome list

aiautoaiautomlcodegendeep-learningmachine-learningmlpython

Backlinks from these awesome lists:

Related projects:

Repository Description Stars
lge-arc-advancedai/auptimizer Automates model building and deployment process by optimizing hyperparameters and compressing models for edge computing. 200
minimaxir/automl-gs Automates machine learning model creation and optimization for complex datasets 1,853
blent-ai/alepython An ALE plot generation tool for explaining machine learning model predictions 158
hdi-project/atm An autoML system designed to build the best model from a given classification problem and dataset 527
neulab/explainaboard An interactive tool to analyze and compare the performance of natural language processing models 361
beastbyteai/falcon Automates machine learning model training using pre-set configurations and modular design. 159
sergioburdisso/pyss3 A Python package implementing an interpretable machine learning model for text classification with visualization tools 336
microsoft/archai Automates the search for optimal neural network configurations in deep learning applications 467
openbmb/bmlist A curated list of large machine learning models tracked over time 341
scottfreellc/alphapy An autoML framework for building and analyzing trading systems and sports betting models using machine learning algorithms. 1,160
semiotic-ai/autoagora Automates cost modeling and optimization for indexers in blockchain networks using reinforcement learning and GraphQL APIs. 11
blib-la/hyv A versatile library designed to streamline the integration and interaction of diverse AI models for collaborative software development 21
deepset-ai/farm An open-source framework for adapting representation models to various tasks and industries 1,741
mop/bier This project implements a deep metric learning framework using an adversarial auxiliary loss to improve robustness. 39
autoviml/auto_viml Automatically builds multiple machine learning models using a single line of code. 524