| Name | Version | Summary | date |
| DawgsML |
0.0.3 |
A simple library for machine learning without a requirements.txt |
2024-05-05 14:18:02 |
| hydra-zen |
0.13.0 |
Configurable, reproducible, and scalable workflows in Python, via Hydra |
2024-04-30 16:27:09 |
| mlswarm |
0.33 |
This package trains neural networks using swarm-like optimization algorithms |
2024-04-30 15:17:14 |
| redflag |
0.5.0 |
Safety net for machine learning pipelines. |
2024-04-22 17:19:34 |
| feature-engineering |
2.1.4 |
Unleash the Power of Your Data with Feature Engineering: The Ultimate Python Library for Machine Learning Preprocessing and Enhancement |
2024-04-09 02:00:21 |
| sigmoid-contrastive-learning |
0.1.0 |
Implementation of modulated sigmoid pairwise contrastive loss for self-supervised learning on images |
2024-04-08 06:45:54 |
| xcolumns |
0.0.2 |
A small library for Consistent Optimization of Label-wise Utilities in Multi-label clasifficatioN |
2024-04-06 23:34:22 |
| future-shot |
0.0.1 |
FutureShot: Few-Shot Learning for high-dimensional classification problems |
2024-03-31 00:35:39 |
| tsgm |
0.0.5 |
Time Series Generative Modelling Framework |
2024-03-24 18:12:00 |
| nendo-plugin-musicgen |
0.1.6 |
Nendo MusicGen plugin: A state-of-the-art controllable text-to-music model (by Meta Research) |
2024-03-19 17:14:14 |
| aitviewer |
1.13.0 |
Viewing and rendering of sequences of 3D data. |
2024-03-19 15:41:22 |
| premium-primitives |
0.0.3 |
|
2024-03-19 14:46:14 |
| tglite |
0.0.4 |
Temporal GNN Lightweight Framework |
2024-03-19 10:10:39 |
| augmenty |
1.4.4 |
An augmentation library based on SpaCy for joint augmentation of text and labels. |
2024-03-19 09:35:33 |
| norse |
1.1.0 |
A library for deep learning with spiking neural networks |
2024-03-18 22:39:51 |
| Encoding-One-Hot |
0.1.11 |
One hot encoding Categorical to Numerical |
2024-03-18 14:54:26 |
| pixano-inference |
0.3.1 |
Inference models for Pixano, data-centric AI building blocks for computer vision applications |
2024-03-18 10:26:21 |
| umangchaudhary |
1.0 |
personal lib |
2024-03-18 08:30:11 |
| ab-testing-module |
3.1.7 |
The AB Testing Module is a comprehensive suite designed for analyzing and reporting A/B test experiments, featuring functions for statistical analysis, advanced modeling, and data visualization to transform experimental results into actionable insights. |
2024-03-18 08:25:19 |
| ellzaf-ml |
1.4.14 |
Ellzaf ML |
2024-03-18 08:24:03 |