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
automated-machine-learning automatic-machine-learning automl catboost data-science decision-tree ensemble feature-engineering hyper-parameters hyperparameter-optimization lightgbm machine-learning mljar models-tuning neural-network random-forest scikit-learn shap tuning-algorithm xgboost
Language:Python 2947
sb-ai-lab / LightAutoML
Fast and customizable framework for automatic ML model creation (AutoML)
automl data-science machine-learning python automated-machine-learning automatic-machine-learning automl-algorithms binary-classification kaggle lama multiclass-classification nlp regression
Language:Python 976
PKU-DAIR / open-box
Generalized and Efficient Blackbox Optimization System
blackbox-optimization bayesian-optimization constrained-optimization multi-objective-optimization hyper-parameter-optimization automatic-machine-learning distributed-systems saas
Language:Python 344
Alex-Lekov / AutoML_Alex
State-of-the art Automated Machine Learning python library for Tabular Data
automl auto-ml optimisation ml cross-validation xgboost stacking stacking-ensemble hyperparameter-optimization hyperparameter-tuning sklearn python machine-learning machine-learning-library machine-learning-models data-science data-science-projects model-selection automatic-machine-learning
Language:Python 209
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 122
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 98
thomas-young-2013 / open-box
Generalized and Efficient Blackbox Optimization System.
blackbox-optimization bayesian-optimization hyperparameter-tuning knobs-tuning multi-objective-optimization constrained-optimization automatic-machine-learning
Language:Python 76
r-tensorflow / autokeras
Package: R Interface to AutoKeras
keras tensorflow deep-learning automl machine-learning automatic-machine-learning autodl r
Language:R 73
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 65
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 59
georgian-io-archive / foreshadow
An automatic machine learning system
machine-learning automl python sklearn pandas automatic-machine-learning
Language:Python 29
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++ 26
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
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 25
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 14
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 8
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
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 5
mlpapers / automl
Awesome papers on AutoML (Automatic Machine Learning)
automl automl-algorithms automatic-machine-learning awesome awesome-list
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
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
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 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
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