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automl-algorithms
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Automatically Visualize any dataset, any size with a single line of code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
visualization
python
machine-learning
scikit-learn
python3
xgboost
tableau
automl
tpot
automated-machine-learning
auto-sklearn
automl-algorithms
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Jul 1, 2021 - Python
Automatically Build Multiple ML Models with a Single Line of Code. Created by Ram Seshadri. Collaborators Welcome. Permission Granted upon Request.
python
machine-learning
scikit-learn
python3
xgboost
automl
tpot
automated-machine-learning
autosklearn
autokeras
auto-viml
automl-algorithms
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Updated
Jul 25, 2021 - Python
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
python
data-science
machine-learning
automation
deep-learning
pypi
hyperparameter-optimization
ensemble-learning
machinelearning
feature-engineering
bayesian-optimization
hyperparameter-tuning
automl
automated-machine-learning
machine-learning-models
machine-learning-projects
machinelearning-python
automl-algorithms
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Updated
Aug 13, 2021 - Python
Encodings for neural architecture search
deep-learning
tensorflow
pytorch
nas
automl
neural-architecture-search
nasbench
automl-algorithms
automl-experiments
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Updated
Apr 5, 2021 - Python
An efficient open-source AutoML system for automating machine learning lifecycle, including feature engineering, neural architecture search, and hyper-parameter tuning.
python
distributed-systems
data-science
machine-learning
deep-learning
ensemble-learning
bayesian-optimization
neural-architecture-search
meta-learning
hyper-parameter-optimization
blackbox-optimization
automl-algorithms
automl-pipeline
knobs-tuning
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Updated
Aug 10, 2021 - Python
Automatic Machine Learning Model Creation with GUI and Python.
machine-learning
automl
eel
python-gui
machinelearning-python
machine-learning-app
automl-algorithms
automl-products
automl-python
machine-learning-gui
python-eel
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Updated
Apr 7, 2021 - HTML
This repository contains an implementation of TPOT for obtaining optimal pipelines with the use of genetic algorithms.
machine-learning
pipeline
genetic-algorithm
assistant
genetic-programming
optimization-methods
optimization-tools
optimization-algorithms
tpot
automl-algorithms
automl-experiments
autml
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Updated
Dec 21, 2020 - Python
Awesome papers on AutoML (Automatic Machine Learning)
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Jul 20, 2021
a library to tune xgboost models
machine-learning
xgboost
hyperparameter-optimization
tuning-parameters
hyperparameter-tuning
automl
gradient-boosting
parameter-tuning
automl-algorithms
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Updated
Feb 14, 2020 - Python
Auto ML application app with dash. Classification and Regression algorithms.
app
xgboost
plotly-dash
plotly-analytics-projects
automl-for-compression
automl-algorithms
automl-experiments
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Updated
Jan 14, 2021 - Python
Credit Card Fraud detection system using Kaggle dataset using Azure Automated Machine Learning
azure
credit-card
credit-card-fraud
creditcard
credit-cards
credit
automl
azure-machine-learning
azure-machine-learning-studio
automl-algorithms
automl-experiments
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Updated
Mar 15, 2020 - Jupyter Notebook
Let’s practice and become familiar with classification algorithms.
python
xgboost
logistic-regression
support-vector-machine
automl
classification-trees
knn-classifier
classification-models
classification-algorithms
automl-algorithms
lazzyclassifier
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Updated
Jun 29, 2021 - Jupyter Notebook
Capstone Project of Udacity's Machine Learning with Azure Nanodegree
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Apr 26, 2021 - Jupyter Notebook
Optimize an Azure ML Pipeline using the Python SDK and a custom scikit-learn Logistic Regression model.
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Apr 17, 2021 - Jupyter Notebook
Demo for Lazy Predict Library!
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May 29, 2021 - Jupyter Notebook
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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Aug 12, 2021 - Python
AutoML Package for faster developing
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Mar 6, 2021 - Jupyter Notebook
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Can we have an example of REST API calls in the documentation?
Examples with CURL, HTTPie or another client and the results would be better for newbies.
Thanks again for your good work.