| Name | Version | Summary | date |
| classifyhub |
0.0.3 |
PyTorch implementation of classification models |
2023-01-27 21:24:28 |
| supervised-ml |
0.0.2 |
machine learning supervised models for python with accuracy metrics |
2023-01-23 04:42:58 |
| uvs-training-sdk |
0.0.3 |
A sample python SDK for training and prediction with Unified Vision Service. |
2023-01-15 21:41:51 |
| cubrif |
1.4.3 |
Build random forests using CUDA GPU. |
2023-01-15 01:04:34 |
| owl-parser |
0.1.18 |
Parse Input Text using One-or-More Ontology (OWL) files |
2023-01-07 07:18:54 |
| mmu |
0.1.2 |
Compute uncertainties on classification model metrics. |
2022-12-21 14:15:44 |
| tfkit |
0.8.4 |
Transformers kit - Multi-task QA/Tagging/Multi-label Multi-Class Classification/Generation with BERT/ALBERT/T5/BERT |
2022-12-13 09:21:48 |
| naivepy |
1.1 |
Naive Algorithm Module Implemented in Python |
2022-12-10 16:16:59 |
| EdgeClassifier |
0.0.11 |
A python package for classify edges of graph based on topological features and neural networks. |
2022-12-07 15:08:36 |
| Metric-Learning-Layers |
0.1.6 |
A simple PyTorch package that includes the most common metric learning layers. |
2022-12-01 15:27:54 |
| schema-classification |
0.1.7 |
Perform Intent Classification using an External Schema |
2022-12-01 00:21:59 |
| classy-core |
0.3.2 |
A powerful tool to train and use your classification models. |
2022-09-08 15:20:21 |
| textda |
0.1.0.6 |
this is data augmentation for chinese text |
2019-08-11 06:53:07 |