15 results found Sort:

EpistasisLab
tpot EpistasisLab
1.6k
9.8k
lgpl-3.0
289
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 10 months ago
databricks
spark-sklearn databricks
228
1.1k
apache-2.0
94
(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This repository has been archived (exclude archived)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 5 years ago
sberbank-ai-lab
LightAutoML sberbank-ai-lab
95
908
apache-2.0
32
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This repository has been archived (exclude archived)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
88
650
bsd-3-clause
11
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
903 commits to master branch, last one about a month ago
cerlymarco
shap-hypetune cerlymarco
71
566
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 10 months ago
SimonBlanke
Hyperactive SimonBlanke
42
515
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
2,383 commits to master branch, last one about a month ago
EpistasisLab
tpot2 EpistasisLab
29
213
lgpl-3.0
10
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
471 commits to main branch, last one 2 days ago
baggepinnen
Hyperopt.jl baggepinnen
20
199
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 about a year ago
openmole
openmole openmole
37
144
agpl-3.0
20
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
14,551 commits to dev branch, last one 5 days ago
jfcg
sorty jfcg
6
133
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 7 months ago
kennedyCzar
STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA kennedyCzar
35
130
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 2 years ago
HAL-42
AlchemyCat HAL-42
10
120
apache-2.0
9
Alchemy Cat —— 🔥Config System for SOTA
config auto-tuning deep-learning computer-vision machine-learning parameter-tuning
Created 2019-12-07
389 commits to master branch, last one 9 days ago
openmole
mgo openmole
4
72
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
1,255 commits to master branch, last one 10 days ago
aimclub
iOpt aimclub
24
53
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
396 commits to main branch, last one 11 days ago
lasgroup
gosafeopt lasgroup
6
29
gpl-3.0
4
Globally Safe Model-free Exploration of Dynamical Systems
gosafeopt parameter-tuning safe-exploration bayesian-optimization
Created 2023-06-12
39 commits to main branch, last one about a month ago