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automatic-machine-learning
Here are 15 public repositories matching this topic...
DeepArchitect: Automatically Designing and Training Deep Architectures
machine-learning
deep-learning
hyperparameter-optimization
auto-ml
neural-architecture-search
architecture-search
automatic-machine-learning
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Oct 1, 2019 - Python
State-of-the art Automated Machine Learning python library for Tabular Data
python
data-science
machine-learning
sklearn
cross-validation
ml
model-selection
xgboost
hyperparameter-optimization
machine-learning-library
hyperparameter-tuning
optimisation
automl
stacking
auto-ml
machine-learning-models
automatic-machine-learning
data-science-projects
stacking-ensemble
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Updated
Mar 7, 2021 - Python
A general, modular, and programmable architecture search framework
machine-learning
deep-neural-networks
deep-learning
tensorflow
pytorch
neural-networks
colab
hyperparameter-optimization
auto-ml
neural-architecture-search
architecture-search
automatic-machine-learning
colab-notebook
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Updated
May 21, 2021 - Python
Generalized and Efficient Blackbox Optimization System.
distributed-systems
saas
constrained-optimization
multi-objective-optimization
bayesian-optimization
hyper-parameter-optimization
blackbox-optimization
automatic-machine-learning
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Updated
Aug 11, 2021 - Python
【数据科学家系列课程】
product-design
data-science
automation
algorithms
robotics
machine-learning-algorithms
mathematics
design-patterns
artificial-intelligence
startup
mathematical-statistics
algorithm-challenges
algorithm-analysis
architectural-patterns
system-architecture
architecture-visualization
foundation-framework
algorithm-visualisation
architectures
automatic-machine-learning
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Updated
Aug 22, 2021 - Jupyter Notebook
Package: R Interface to AutoKeras
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Updated
Jan 16, 2021 - R
Generalized and Efficient Blackbox Optimization System.
constrained-optimization
multi-objective-optimization
bayesian-optimization
hyperparameter-tuning
blackbox-optimization
automatic-machine-learning
knobs-tuning
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Updated
Aug 12, 2021 - Python
An automatic machine learning system
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Updated
Apr 20, 2020 - Python
Comparison of automatic machine learning libraries
machine-learning
mljar-api-python
predictive-modeling
prediction-algorithm
prediction-model
automatic-machine-learning
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Updated
Dec 7, 2017 - Python
This repo holds the code, dataset, and running scripts for fast k-means evaluation
evaluation
pipeline-framework
dataset
pruning
spatial-analysis
k-means
algorithm-selection
lloyds
automatic-machine-learning
fast-kmeans
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Updated
Mar 31, 2021 - Java
Surrogarte modelling technique selector
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Updated
Nov 14, 2019 - Jupyter Notebook
SKSurrogate is a suite of tools that implements surrogate optimization for expensive functions based on scikit-learn. The main purpose of SKSurrogate is to facilitate hyperparameter optimization for machine learning models and optimized pipeline design (AutoML).
machine-learning
optimization
machine
regression
model-selection
hyperparameter-optimization
classification
automl
eoa
automatic-machine-learning
surrogate-based-optimization
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Updated
Dec 28, 2020 - Python
Awesome papers on AutoML (Automatic Machine Learning)
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Updated
Jul 20, 2021
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Sep 4, 2019 - Jupyter Notebook
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Details in discussion mljar/mljar-supervised#421