Name | Version | Summary | date |
tsforecasting |
1.2.76 |
TSForecasting is an Automated Time Series Forecasting Framework |
2023-11-27 22:15:19 |
oracle-automlx |
23.4.1 |
Automated Machine Learning with Explainability |
2023-11-23 19:47:18 |
modelaapi |
0.6.262 |
A suite of automatic machine learning for kubernetes |
2023-11-20 17:34:09 |
alpha-automl |
0.3.0 |
Alpha-AutoML: NYU's AutoML System |
2023-11-18 03:33:19 |
TezzAutoML |
0.1.5 |
Just another AutoML library, but better and faster. |
2023-11-11 07:11:09 |
evalml |
0.82.0 |
an AutoML library that builds, optimizes, and evaluates machine learning pipelines using domain-specific objective functions |
2023-11-03 17:29:55 |
getml |
1.4.0 |
Python API for getML |
2023-10-17 13:24:43 |
significance-analysis |
0.1.11 |
Significance Analysis for HPO-algorithms performing on multiple benchmarks |
2023-10-06 23:03:05 |
hpo4dl |
0.1.0 |
Hyper parameter optimization for deep learning |
2023-10-06 12:15:33 |
alphad3m-containers |
0.24.0 |
AlphaD3M: NYU's AutoML System |
2023-08-22 21:42:41 |
alphad3m |
0.24.0 |
AlphaD3M: NYU's AutoML System |
2023-08-22 21:41:27 |
naiveautoml |
0.0.27 |
The official package for the Naive AutoML paper |
2023-08-17 20:28:41 |
autofeat |
2.1.2 |
Automatic Feature Engineering and Selection Linear Prediction Model |
2023-07-28 17:28:40 |
ocean-ml |
1.0.1 |
|
2023-07-22 16:09:43 |
smartpyml |
0.1.2 |
smartpyml: A Comprehensive Machine Learning Library |
2023-07-20 08:54:44 |
dswizard-components |
0.2.3 |
Contains all base algorithms used by dswizard |
2023-07-18 11:50:01 |
dswizard |
0.2.6 |
DataScience Wizard for automatic assembly of machine learning pipelines |
2023-07-18 11:49:30 |
autoMLF |
1.0.3 |
autoML for training and inference Deep Learning model |
2023-07-09 10:18:24 |
autoMLS |
1.0.2 |
E-kyc for Industries application |
2023-07-09 05:41:15 |
modelLab |
0.3.4 |
A lib for automating model training process of choosing best model that works for you data |
2023-07-05 17:32:54 |