| Name | Version | Summary | date |
| yucca |
1.0.2 |
The modern framework for sandbox experimentation and out-of-the box machine learning on medical data. |
2024-03-22 18:09:16 |
| lightning-thunder |
0.1.0 |
Lightning Thunder project. |
2024-03-20 19:19:08 |
| flowlite |
0.0.3 |
A simple, educational deep learning framework |
2024-03-20 11:26:27 |
| perlib |
3.0.4 |
Deep learning, Machine learning and Statistical learning for humans. |
2024-03-19 17:44:53 |
| etils |
1.8.0 |
Collection of common python utils |
2024-03-19 15:36:31 |
| deeplay |
0.0.7 |
An AI-powered platform for advancing deep learning research and applications, developed by DeepTrackAI. |
2024-03-19 14:38:23 |
| 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 |
| deepxube |
0.1.1 |
Solving pathfinding problems in an explainable manner with deep learning, reinforcement learning, heuristic search, and logic |
2024-03-18 18:53:19 |
| cellmap-models |
0.0.2 |
Repository of model architectures and network weights used for CellMap segmentations. |
2024-03-18 18:24:11 |
| s3prl |
0.4.15 |
Self-Supervised Speech Pre-training and Representation Learning Toolkit |
2024-03-18 13:38:07 |
| pixano-inference |
0.3.1 |
Inference models for Pixano, data-centric AI building blocks for computer vision applications |
2024-03-18 10:26:21 |
| tofa |
0.0.10 |
Collection of requisites to speed up research & development with PyTorch |
2024-03-17 15:08:59 |
| kornia |
0.7.2 |
Open Source Differentiable Computer Vision Library for PyTorch |
2024-03-14 09:18:16 |
| imgaug-denk |
0.4.4 |
Image augmentation library for deep neural networks |
2024-03-14 08:24:12 |
| nemo-aligner |
0.2.0 |
NeMo-Aligner - a toolkit for model alignment |
2024-03-13 23:08:14 |
| 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 |
| selfeeg |
0.1.1 |
Self-Supervised Learning for EEG |
2024-03-13 16:33:23 |
| ktrain |
0.41.2 |
ktrain is a wrapper for TensorFlow Keras that makes deep learning and AI more accessible and easier to apply |
2024-03-12 18:32:27 |
| ptxcompiler-cu11 |
0.8.1.post1 |
A fake package to warn the user they are not installing the correct package. |
2024-03-11 19:48:10 |