15 results found Sort:

EpistasisLab
tpot EpistasisLab
1.6k
9.9k
lgpl-3.0
286
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
527 commits to main branch, last one about a month ago
databricks
spark-sklearn databricks
228
1.1k
apache-2.0
93
(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This repository has been archived (exclude archived)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
96
925
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This repository has been archived (exclude archived)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 3 years ago
aimclub
FEDOT aimclub
87
666
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
924 commits to master branch, last one 22 days ago
cerlymarco
shap-hypetune cerlymarco
73
577
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 about a year ago
SimonBlanke
Hyperactive SimonBlanke
47
517
mit
10
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
2,420 commits to master branch, last one 6 days ago
EpistasisLab
tpot2 EpistasisLab
31
230
lgpl-3.0
9
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
517 commits to main branch, last one 2 months ago
baggepinnen
Hyperopt.jl baggepinnen
19
200
other
6
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
38
144
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
14,799 commits to dev branch, last one 10 days ago
jfcg
sorty jfcg
6
136
mpl-2.0
4
:zap: Fast Concurrent / Parallel Sorting in Go
golang sorting concurrency parallelism parameter-tuning
Created 2019-02-18
254 commits to main branch, last one 11 months ago
kennedyCzar
STOCK-RETURN-PREDICTION-USING-KNN-SVM-GUASSIAN-PROCESS-ADABOOST-TREE-REGRESSION-AND-QDA kennedyCzar
35
134
mit
6
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
8
115
apache-2.0
6
Alchemy Cat —— 🔥Config System for SOTA
config auto-tuning deep-learning computer-vision machine-learning parameter-tuning
Created 2019-12-07
398 commits to master branch, last one about a month ago
openmole
mgo openmole
5
72
unknown
13
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
1,286 commits to master branch, last one about a month ago
aimclub
iOpt aimclub
24
54
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
397 commits to main branch, last one 2 months ago
lasgroup
gosafeopt lasgroup
6
31
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 5 months ago