automatic-machine-learning

There are 5 repositories under automatic-machine-learning topic.

mljar-supervised
mljar / mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
automl machine-learning automatic-machine-learning mljar data-science scikit-learn hyperparameter-optimization feature-engineering xgboost random-forest neural-network lightgbm catboost ensemble tuning-algorithm models-tuning hyper-parameters decision-tree shap automated-machine-learning
Language:Python 3057
sb-ai-lab / LightAutoML
Fast and customizable framework for automatic ML model creation (AutoML)
automated-machine-learning automatic-machine-learning automl automl-algorithms binary-classification data-science kaggle lama machine-learning multiclass-classification nlp python regression
Language:Python 1214
PKU-DAIR / open-box
Generalized and Efficient Blackbox Optimization System
automatic-machine-learning bayesian-optimization blackbox-optimization constrained-optimization distributed-systems hyper-parameter-optimization multi-objective-optimization saas
Language:Python 381
Alex-Lekov / AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
auto-ml automatic-machine-learning automl cross-validation data-science data-science-projects hyperparameter-optimization hyperparameter-tuning machine-learning machine-learning-library machine-learning-models ml model-selection optimisation python sklearn stacking stacking-ensemble xgboost
Language:Python 228
negrinho / deep_architect_legacy
DeepArchitect: Automatically Designing and Training Deep Architectures
machine-learning deep-learning hyperparameter-optimization architecture-search neural-architecture-search auto-ml automatic-machine-learning
Language:Python 144
negrinho / deep_architect
A general, modular, and programmable architecture search framework
architecture-search neural-architecture-search neural-networks hyperparameter-optimization auto-ml machine-learning automatic-machine-learning deep-neural-networks deep-learning colab colab-notebook tensorflow pytorch
Language:Python 121
batermj / data_sciences_campaign
【数据科学家系列课程】
artificial-intelligence machine-learning-algorithms system-architecture data-science mathematics mathematical-statistics startup foundation-framework product-design algorithms automatic-machine-learning automation robotics algorithm-challenges algorithm-analysis architectures design-patterns architectural-patterns architecture-visualization algorithm-visualisation
Language:Jupyter Notebook 99
Face-recognition-Attendance-System-Project
Vatshayan / Face-recognition-Attendance-System-Project
Final Year Btech Face recognition Attendance System Project with code and Documents. Video Implementation with explanation too. Base IEEE paper Implementation
attendance attendance-management-system attendance-system automatic automatic-machine-learning btech btech-project btechfinalyear btechproject btechprojects final final-project final-year-project finalyearproject mtech mtech-project python semester
Language:Python 99
thomas-young-2013 / open-box
Generalized and Efficient Blackbox Optimization System.
automatic-machine-learning bayesian-optimization blackbox-optimization constrained-optimization hyperparameter-tuning knobs-tuning multi-objective-optimization
Language:Python 81
r-tensorflow / autokeras
Package: R Interface to AutoKeras
keras tensorflow deep-learning automl machine-learning automatic-machine-learning autodl r
Language:R 73
spsanderson / tidyAML
Auto ML for the tidyverse
automatic-machine-learning automl machine-learning tidy tidymodels tidyverse classification parsnip regression r r-language r-package r-programming r-stats
Language:R 66
khiops
KhiopsML / khiops
Khiops is an AutoML suite for supervised and unsupervised learning
auto-feature-engineering automatic-machine-learning automl data-science machine-learning supervised-learning unsupervised-learning
Language:C++ 32
haghish / mlim
mlim: single and multiple imputation with automated machine learning
automatic-machine-learning automl data-science elastic-net extreme-gradient-boosting gbm glm gradient-boosting gradient-boosting-machine imputation imputation-algorithm imputation-methods machine-learning missing-data stack-ensemble r rstats rstats-package classimbalance multipleimputation
Language:R 30
georgian-io-archive / foreshadow
An automatic machine learning system
machine-learning automl python sklearn pandas automatic-machine-learning
Language:Python 29
mljar / automl_comparison
Comparison of automatic machine learning libraries
machine-learning automatic-machine-learning predictive-modeling prediction-model prediction-algorithm mljar-api-python
Language:Python 26
tgbnhy / fast-kmeans
This repo holds the code, dataset, and running scripts for fast k-means evaluation
k-means spatial-analysis lloyds algorithm-selection automatic-machine-learning evaluation fast-kmeans dataset pruning pipeline-framework
Language:Java 15
KhiopsML / khiops-python
The Python library of the Khiops AutoML suite
auto-feature-engineering automatic-machine-learning automl data-science machine-learning python supervised-learning unsupervised-learning
Language:Python 9
Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation
sergio94al / Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation
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.
artificial-intelligence evolutionary-algorithms machine-learning quantum-algorithms quantum-computing quantum-machine-learning genetic-algorithms optimization-methods qml kernel-methods multiobjective-optimization evolutionary-strategy automatic-machine-learning genetic-algorithm quantum-inspired-algorithm supervised-learning-algorithms classifiers quantum-kernel
Language:Jupyter Notebook 7
mlpapers / automl
Awesome papers on AutoML (Automatic Machine Learning)
automl automl-algorithms automatic-machine-learning awesome awesome-list
4
phbillet / EzStacking
EzStacking: From data to Kubernetes thru Scikit-Learn, FastAPI and Docker in a few clicks and command lines!
machine-learning exploratory-data-analysis modelling keras notebook-generator scikit-learn automatic-machine-learning docker fastapi kubernetes classification regression time-series-forecasting
Language:Jupyter Notebook 4
alankrantas / colab-python-cookbooks
Experiments of AutoML/data science packages and solving Kaggle competition in Google Colaboratory or DevContainer/Codespace
python data-science colab-notebook colaboratory jupyter-notebook machine-learning deep-learning neural-network automl datascience kaggle kaggle-competition python3 automatic-machine-learning codespace devcontainer
Language:Jupyter Notebook 2
AlbertoCampini / AAUT
Apprendimento automatico
university-course automatic-machine-learning
Language:Jupyter Notebook 2
light-weaver / ModelSelector
Surrogarte modelling technique selector
surrogate-models metamodeling automatic-machine-learning
Language:Jupyter Notebook 2
PedroSeber / SmartProcessAnalytics
Smart Process Analytics (SPA) is a software package for automatic machine learning. Given user-input data (and optional user preferences), SPA automatically cross-validates and tests ML and DL models. Model types are selected based on the properties of the data, minimizing the risk of data-specific variance.
artificial-intelligence automatic-machine-learning automl deep-learning machine-learning scientific-modelling automated-machine-learning
Language:Python 2
Danielto1404 / master-courses
A collection of courses at Master program at Deep Learning department in ITMO University
automatic-machine-learning deep-learning gans machine-learning meta-learning neural-networks nlp computer-vision big-data evolutionary-algorithms information-theory reinforcement-learning
Language:Jupyter Notebook 1
mghasemi / sksurrogate
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).
optimization surrogate-based-optimization automl eoa machine machine-learning automatic-machine-learning model-selection hyperparameter-optimization classification regression
Language:Python 1
arjunan-k / Auto_ML_PyCaret
Automate machine learning EDA and model building using Pandas Profiling & PyCaret.
pandas-profiling pycaret automatic-machine-learning
Language:Python 0
sergio94al / AutoQML-Quantum-Inspired-Kernels-by-Using-Genetic-Algorithms-for-Grayscale-images
This quantum machine learning technique allows to auto-generate quantum-inspired classifiers by using multiobjetive genetic algorithms for grayscale images, optimizing both quantum circuits and dimensionality reduction method.
artificial-intelligence automatic-machine-learning automl evolutionary-algorithms genetic-algorithms machine-learning optimization quantum-artificial-intelligence quantum-inspired-algorithm quantum-kernel quantum-machine-learning
Language:Jupyter Notebook 0
Kostas-Pappas / Sentiment-Analysis-of-Samsung-s-Galaxy-and-Apple-s-iPhone-Smartphones
feature-engineering sentiment-analysis r python automatic-machine-learning tpot h2o-automl
Language:Jupyter Notebook
MuhamedHekal / images-classification-Scones-Unlimited
In this project, I'll be building an image classification model that can automatically detect which kind of vehicle delivery drivers have, in order to route them to the correct loading bay and orders. Assigning delivery professionals who have a bicycle to nearby orders and giving motorcyclists orders that are farther can help Scones Unlimited optimize their operations.
automatic-machine-learning cifar100 imageclassification machine-learning
Language:Jupyter Notebook

automatic-machine-learning

mljar / mljar-supervised

sb-ai-lab / LightAutoML

PKU-DAIR / open-box

Alex-Lekov / AutoML_Alex

negrinho / deep_architect_legacy

negrinho / deep_architect

batermj / data_sciences_campaign

Vatshayan / Face-recognition-Attendance-System-Project

thomas-young-2013 / open-box

r-tensorflow / autokeras

spsanderson / tidyAML

KhiopsML / khiops

haghish / mlim

georgian-io-archive / foreshadow

mljar / automl_comparison

tgbnhy / fast-kmeans

KhiopsML / khiops-python

sergio94al / Automatic_design_of_quantum_feature_maps_Genetic_Auto-Generation

mlpapers / automl

phbillet / EzStacking

alankrantas / colab-python-cookbooks

AlbertoCampini / AAUT

light-weaver / ModelSelector

PedroSeber / SmartProcessAnalytics

Danielto1404 / master-courses

mghasemi / sksurrogate

arjunan-k / Auto_ML_PyCaret

sergio94al / AutoQML-Quantum-Inspired-Kernels-by-Using-Genetic-Algorithms-for-Grayscale-images

Kostas-Pappas / Sentiment-Analysis-of-Samsung-s-Galaxy-and-Apple-s-iPhone-Smartphones

MuhamedHekal / images-classification-Scones-Unlimited