automatic-machine-learning

Final Year Btech Face recognition Attendance System Project with code and Documents. Video Implementation with explanation too. Base IEEE paper Implementation

python final automatic attendance finalyearproject semester final-year-project final-project attendance-system btech attendance-management-system automatic-machine-learning mtech btech-project btechfinalyear btechproject btechprojects mtech-project

UpdatedAug 12, 2022
Python

negrinho /deep_architect_legacy

Star145

DeepArchitect: Automatically Designing and Training Deep Architectures

machine-learning deep-learning hyperparameter-optimization auto-ml neural-architecture-search architecture-search automatic-machine-learning

UpdatedOct 1, 2019
Python

negrinho /deep_architect

Star124

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

UpdatedMar 24, 2023
Python

batermj /data_sciences_campaign

Star105

【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

UpdatedMar 15, 2025
Jupyter Notebook

thomas-young-2013 /open-box

Star85

Generalized and Efficient Blackbox Optimization System.

constrained-optimization multi-objective-optimization bayesian-optimization hyperparameter-tuning blackbox-optimization automatic-machine-learning knobs-tuning

UpdatedFeb 21, 2023
Python

r-tensorflow /autokeras

Star74

Package: R Interface to AutoKeras

machine-learning r deep-learning tensorflow keras automl automatic-machine-learning autodl

UpdatedJan 16, 2021
R

KhiopsML /khiops

Star73

Khiops is an AutoML suite for supervised and unsupervised learning

data-science machine-learning supervised-learning unsupervised-learning automl automatic-machine-learning auto-feature-engineering

UpdatedFeb 20, 2026
C++

spsanderson /tidyAML

Star70

Auto ML for the tidyverse

machine-learning r tidyverse regression classification tidy r-language r-package r-programming automl r-stats automatic-machine-learning parsnip tidymodels

UpdatedDec 29, 2025
R

haghish /mlim

Star32

mlim: single and multiple imputation with automated machine learning

data-science machine-learning r rstats imputation gbm gradient-boosting-machine missing-data glm automl elastic-net gradient-boosting automatic-machine-learning imputation-algorithm extreme-gradient-boosting imputation-methods rstats-package classimbalance stack-ensemble multipleimputation

UpdatedJul 30, 2024
R

georgian-io-archive /foreshadow

Star29

An automatic machine learning system

python machine-learning sklearn pandas automl automatic-machine-learning

UpdatedJan 9, 2024
Python

mljar /automl_comparison

Star29

Comparison of automatic machine learning libraries

machine-learning mljar-api-python predictive-modeling prediction-algorithm prediction-model automatic-machine-learning

UpdatedDec 7, 2017
Python

KhiopsML /khiops-python

Star18

The Python library of the Khiops AutoML suite

python data-science machine-learning supervised-learning unsupervised-learning automl automatic-machine-learning auto-feature-engineering

UpdatedFeb 20, 2026
Python

tgbnhy /fast-kmeans

Star15

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

UpdatedMay 20, 2022
Java

sergio94al /Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation

Star10

Registered Software. Official code of the published article "Automatic design of quantum feature maps". This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for tabular data.