| Name | Version | Summary | date |
| h2o-pysparkling-3.2 |
3.46.0.6.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-11-19 12:10:07 |
| h2o-pysparkling-3.1 |
3.46.0.6.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-11-19 12:10:07 |
| h2o-pysparkling-scoring-2.4 |
3.46.0.6.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-11-19 12:09:52 |
| h2o-pysparkling-scoring-2.3 |
3.46.0.6.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-11-19 12:09:48 |
| h2o-pysparkling-2.4 |
3.46.0.6.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-11-19 12:09:34 |
| h2o-pysparkling-2.3 |
3.46.0.6.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-11-19 12:09:34 |
| h2o-pysparkling-scoring-3.0 |
3.46.0.6.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-11-19 12:09:16 |
| h2o-pysparkling-3.0 |
3.46.0.6.post1 |
Sparkling Water integrates H2O's Fast Scalable Machine Learning with Spark |
2024-11-19 12:09:00 |
| mosec |
0.9.0 |
Model Serving made Efficient in the Cloud |
2024-11-18 12:40:17 |
| MachineLearningComparisonPipeline |
0.2.4 |
Pipeline for analysis of the machine learning applications in Sci-Kit Learn |
2024-11-14 20:53:26 |
| snapper-ml |
0.4.1 |
A framework for reproducible machine learning |
2024-11-12 18:25:51 |
| alphanucleo |
0.0.1a1 |
A Python SDK for alphanucleo. |
2024-11-12 13:46:34 |
| ml-web-inference |
0.1.2 |
A Python package for ML web inference using FastAPI |
2024-11-12 09:32:04 |
| pqm |
0.6.2 |
Implemenation of the PQMass two sample test from Lemos et al. 2024 |
2024-11-11 16:54:42 |
| graph-structure-learning |
0.1.2 |
Extracting graphs from signals on nodes |
2024-11-11 13:33:19 |
| metatensor-torch |
0.6.1 |
TorchScript bindings for metatensor |
2024-11-07 17:15:05 |
| imbalanced-learn-extra |
0.2.5 |
An implementation of novel oversampling algorithms. |
2024-11-07 08:00:44 |
| maite |
0.7.1 |
Library of common types, protocols (a.k.a. structural subtypes), and utilities to support AI test and evaluation |
2024-11-07 02:46:41 |
| lume-model |
1.7.1 |
Data structures used in the LUME modeling toolset. |
2024-11-06 22:58:53 |
| xcs-rc |
1.2.4 |
Accuracy-based Learning Classifier Systems with Rule Combining |
2024-11-06 08:30:26 |