| Name | Version | Summary | date |
| 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 |
| llm-attributor |
0.1.1 |
A Python package to run LLMAttributor in your computational notebooks. |
2024-03-18 01:39:13 |
| kaldialign |
0.9.1 |
Kaldi alignment methods wrapped into Python |
2024-03-17 23:17:25 |
| tofa |
0.0.10 |
Collection of requisites to speed up research & development with PyTorch |
2024-03-17 15:08:59 |
| gradio-molecule3d |
0.0.5 |
Molecule3D custom component to visualize pdb or sdf files using 3Dmol.js |
2024-03-16 19:31:50 |
| ElMD |
0.5.13 |
An implementation of the Element movers distance for chemical similarity of ionic compositions |
2024-03-15 04:14:19 |
| sinabs-exodus |
1.2.1 |
Efficient training and inference on GPU for sinabs spiking neural network simulator. |
2024-03-14 11:41:54 |
| sinabs |
2.0.0 |
SynSense Spiking Neural Network simulator for deep neural networks (DNNs). |
2024-03-14 11:08:34 |
| imgaug-denk |
0.4.4 |
Image augmentation library for deep neural networks |
2024-03-14 08:24:12 |
| watex |
0.3.3 |
Machine learning research in water exploration |
2024-03-14 04:24:52 |
| modeyolo |
0.2.1 |
ModeYOLO is a versatile Python package designed for efficient color space transformations and simplified dataset modification for deep learning applications. Seamlessly integrating into your workflow, this package empowers users to effortlessly perform diverse color operations and streamline the creation of modified datasets, enhancing the flexibility and convenience of machine learning model training processes. |
2024-03-13 20:24:10 |