| Name | Version | Summary | date |
| xdtclassifier |
1.0.1 |
XDT (Exact Decision Tree) - High-performance decision tree classifier with exact split optimization |
2025-09-07 12:15:27 |
| scikit-p4 |
0.1.1 |
P4 metric calculation library compatible with scikit-learn |
2025-09-06 10:28:38 |
| PytorchWildlife |
1.2.4.1 |
a PyTorch Collaborative Deep Learning Framework for Conservation. |
2025-09-06 05:15:21 |
| slurp-masks |
0.0.0 |
Smart Land Use Reconstruction Pipeline |
2025-09-05 08:52:40 |
| naceconverter |
1.0.0 |
A Python package for converting NACE codes to descriptions and searching |
2025-09-02 11:46:51 |
| medvision-classification |
0.2.3 |
A comprehensive PyTorch Lightning framework for medical image classification with support for 2D/3D images |
2025-09-02 08:29:42 |
| pymine-edu |
0.1.0 |
An interpretable, transparent, and educational data mining library built from scratch in pure Python. |
2025-09-01 21:55:20 |
| mailprobe-py |
0.1.0 |
A Python implementation of advanced Bayesian email classification and filtering |
2025-09-01 03:48:00 |
| aisp |
0.3.2 |
Package with techniques of artificial immune systems. |
2025-08-30 02:30:19 |
| pyconvertu |
1.0.6 |
From/to Classification Converter |
2025-08-26 10:53:25 |
| symclatron |
0.6.4 |
symclatron: symbiont classifier |
2025-08-25 22:07:28 |
| aiwand |
0.4.34 |
A simple AI toolkit for text processing using OpenAI and Gemini APIs |
2025-08-24 22:14:11 |
| mantis-tsfm |
0.2.0 |
Mantis: Lightweight Calibrated Foundation Model for User-Friendly Time Series Classification |
2025-08-20 15:32:16 |
| linearboost |
0.1.4 |
LinearBoost Classifier is a rapid and accurate classification algorithm that builds upon a very fast, linear classifier. |
2025-08-19 20:25:46 |
| raceknn |
0.1.0 |
A hybrid rule-guided k-Nearest Neighbor classifier for improved performance. |
2025-08-18 20:37:23 |
| tagmaster-python |
1.0.7 |
A comprehensive Python client for the Tagmaster classification API with project management, category management, AI classification, and analytics |
2025-08-18 04:38:04 |
| pyoselm |
1.2.0 |
A Python implementation of Online Sequential Extreme Machine Learning (OS-ELM) for online machine learning |
2025-08-17 20:58:19 |
| orientLoss |
0.0.8 |
orientLoss is a classification loss function @pytorch. It less prone to overfitting compared to crossEntropy. Compatible with random vector/embeddings with direction-indicating categoriesăprobabilisticăoneHot as target. |
2025-08-17 18:01:56 |
| zeroshot-engine |
0.1.5 |
A zero-shot classification engine based on various LLM models |
2025-08-17 14:11:19 |
| deep-rehab-pile |
0.1.2 |
Deep Learning for Skeleton Based Human Motion Rehabilitation Assessment: A Benchmark |
2025-08-17 12:24:10 |