| Name | Version | Summary | date |
| binclass-tools |
1.1.2 |
A set of tools that facilitates the analysis of binary classification problems |
2023-03-13 16:53:39 |
| owl-finder |
0.1.12 |
Perform Ontology Queries with a Finder Facade |
2023-03-11 19:17:20 |
| doc-classifier-amira-codecamp |
0.0.1 |
A machine learning model to classify scientific documents (articles & thesis) by field of study |
2023-02-11 15:59:43 |
| vision-evaluation |
0.2.13 |
Evaluation metric codes for various vision tasks. |
2023-02-08 23:07:12 |
| niaclass |
0.1.4 |
Python framework for building classifiers using nature-inspired algorithms |
2023-02-07 09:19:09 |
| sleapyfaces |
1.2.9.post1 |
A package for extracting facial expressions from SLEAP analyses |
2023-02-02 22:20:54 |
| paddle3d |
1.0.0 |
|
2023-02-01 03:02:12 |
| dataset-shuffler |
0.1.1 |
Data engineering tool for learning-based computer vision. |
2023-01-28 23:21:55 |
| 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 |
| brif |
1.4.3 |
Build decision trees and random forests for classification and regression. |
2023-01-14 22:31:30 |
| 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 |