13 results found Sort:

EpistasisLab
tpot EpistasisLab
1.5k
9.5k
lgpl-3.0
287
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
nia adsp aiml automl python ag066833 alzheimer alzheimers automation u01ag066833 data-science scikit-learn random-forest model-selection machine-learning parameter-tuning gradient-boosting feature-engineering automated-machine-learning hyperparameter-optimization
Created 2015-11-03
2,440 commits to master branch, last one 3 months ago
databricks
spark-sklearn databricks
231
1.1k
apache-2.0
95
(Deprecated) Scikit-learn integration package for Apache Spark
grid-search apache-spark scikit-learn machine-learning parameter-tuning
This repository has been archived (exclude archived)
Created 2015-09-02
265 commits to master branch, last one 4 years ago
sberbank-ai-lab
LightAutoML sberbank-ai-lab
92
884
apache-2.0
31
LAMA - automatic model creation framework
nlp lama automl kaggle pytorch blackbox pipeline stacking whitebox ensembling multiclass regression data-science linear-model classification model-selection parameter-tuning gradient-boosting feature-engineering automated-machine-learning
This repository has been archived (exclude archived)
Created 2020-02-13
497 commits to master branch, last one 2 years ago
aimclub
FEDOT aimclub
84
615
bsd-3-clause
10
Automated modeling and machine learning framework FEDOT
fedot automl automation multimodality machine-learning parameter-tuning genetic-programming structural-learning evolutionary-algorithms automated-machine-learning hyperparameter-optimization
Created 2020-01-13
874 commits to master branch, last one 2 days ago
cerlymarco
shap-hypetune cerlymarco
70
540
mit
7
A python package for simultaneous Hyperparameters Tuning and Features Selection for Gradient Boosting Models.
shap xgboost lightgbm model-selection parameter-tuning feature-selection hyperparameter-optimization
Created 2021-05-16
30 commits to main branch, last one 3 months ago
SimonBlanke
Hyperactive SimonBlanke
41
495
mit
12
An optimization and data collection toolbox for convenient and fast prototyping of computationally expensive models.
keras python pytorch xgboost hyperactive data-science optimization scikit-learn deep-learning model-selection machine-learning parameter-tuning parallel-computing feature-engineering bayesian-optimization automated-machine-learning neural-architecture-search hyperparameter-optimization
Created 2018-11-01
2,279 commits to master branch, last one 14 days ago
baggepinnen
Hyperopt.jl baggepinnen
20
198
other
7
Hyperparameter optimization in Julia.
bohb hyperband optimization random-sampling parameter-tuning global-optimization bayesian-optimization hyperparameter-optimization
Created 2018-08-04
189 commits to master branch, last one 7 months ago
EpistasisLab
tpot2 EpistasisLab
22
156
lgpl-3.0
7
A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.
nia adsp aiml automl python ag066833 lm010098 alzheimer alzheimers automation data-science scikit-learn random-forest model-selection machine-learning parameter-tuning gradient-boosting feature-engineering automated-machine-learning hyperparameter-optimization
Created 2023-03-24
266 commits to main branch, last one 14 days ago
openmole
openmole openmole
37
140
agpl-3.0
19
Workflow engine for exploration of simulation models using high throughput computing
egi grid dirac scala workflow modeling-tool hyperparameters workflow-engine parameter-search parameter-tuning parameter-estimation scientific-computing distributed-computing
Created 2014-10-08
14,162 commits to dev branch, last one 9 days ago
jfcg
sorty jfcg
6
131
mpl-2.0
5
:zap: Fast Concurrent / Parallel Sorting in Go
golang sorting concurrency parallelism parameter-tuning
Created 2019-02-18
254 commits to main branch, last one 20 days ago
kennedyCzar
STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA kennedyCzar
35
117
mit
7
Forecast stock prices using machine learning approach. A time series analysis. Employ the Use of Predictive Modeling in Machine Learning to Forecast Stock Return. Approach Used by Hedge Funds to Selec...
stock stocks adaboost pipeline prediction gridsearchcv decision-tree random-forest knn-classifier svm-classifier parameter-tuning guassian-processes algorithmic-trading logistic-regression predictive-analysis predictive-modeling quadratic-discriminant-analysis
Created 2018-09-05
55 commits to master branch, last one about a year ago
openmole
mgo openmole
3
71
unknown
14
Purely functional genetic algorithms for multi-objective optimisation
scala optimisation hyperparameters parameter-tuning genetic-algorithm hyperparameter-tuning functional-programming hyperparameter-optimization
Created 2012-08-29
1,241 commits to master branch, last one about a month ago
aimclub
iOpt aimclub
23
43
bsd-3-clause
4
Framework of intelligent optimization methods iOpt
parameter-tuning global-optimizers global-optimization hyperparameter-optimization global-optimization-algorithms
Created 2022-10-05
385 commits to main branch, last one 16 days ago