| Name | Version | Summary | date |
| websiteclassificationapi |
2.10 |
Website classification API |
2025-08-04 13:35:23 |
| productcategorizationapi |
1.3 |
product categorization API |
2025-08-04 11:29:04 |
| pyhscodes |
1.0.2 |
Harmonized System (HS) codes from the World Customs Organization with hierarchical structure and search capabilities |
2025-07-31 08:48:26 |
| online-deterministic-annealing |
1.0.0 |
Online Deterministic Annealing Algorithm |
2025-07-29 01:52:20 |
| ml-sniff |
1.0.0 |
Advanced Machine Learning Problem Detection with CLI and GUI interfaces |
2025-07-27 10:59:47 |
| lcvtoolbox |
1.0.7 |
Computer vision toolbox for road infrastructure analysis |
2025-07-24 10:35:15 |
| PytorchWildlife |
1.2.4 |
a PyTorch Collaborative Deep Learning Framework for Conservation. |
2025-07-23 22:10:51 |
| fisher-scoring |
2.0.5 |
A Python implementation of the Fisher Scoring algorithm for proportion and incidence rate modeling. |
2025-07-18 20:21:18 |
| featrixsphere |
0.1.595 |
Transform any CSV into a production-ready ML model in minutes, not months. |
2025-07-16 18:29:01 |
| deepliif |
1.2.0 |
DeepLIIF: Deep-Learning Inferred Multiplex Immunofluorescence for Immunohistochemical Image Quantification |
2025-07-16 03:31:08 |
| mmm-fair-cli |
1.1.0 |
CLI-only version of the MMM-Fair boosting classifier |
2025-07-15 19:07:34 |
| summit-multi-learn |
0.0.2 |
Supervised MultiModal Integration Tool |
2025-07-11 18:20:42 |
| cv-tda |
0.0.4 |
A Library to Solve Various Computer Vision Problems Using Topological Data Analysis |
2025-04-20 22:00:29 |
| pyerualjetwork |
4.6.2 |
PyerualJetwork is a machine learning library supported with GPU(CUDA) acceleration written in Python for professionals and researchers including with PLAN algorithm, PLANEAT algorithm (genetic optimization). Also includes data pre-process and memory manegament |
2025-02-23 14:56:28 |
| mmm-fair |
0.2.0 |
A multi-objective multi-fairness boosting classifier |
2025-02-17 17:01:29 |
| albumentations |
2.0.4 |
Fast, flexible, and advanced augmentation library for deep learning, computer vision, and medical imaging. Albumentations offers a wide range of transformations for both 2D (images, masks, bboxes, keypoints) and 3D (volumes, volumetric masks) data, with optimized performance and seamless integration into ML workflows. |
2025-02-11 21:50:46 |
| EEG-Classifiers-Ensemble |
0.1.8 |
Tools for processing and classifying EEG tasks in real-time. |
2025-02-11 15:59:00 |
| nncf |
2.15.0 |
Neural Networks Compression Framework |
2025-02-06 10:09:14 |
| probmetrics |
0.0.1 |
Probabilistic metrics and calibration methods |
2025-02-03 09:58:36 |
| multiviewstacking |
0.5.0 |
Python implementation of the Multi-View Stacking algorithm. |
2025-01-28 05:34:55 |