| Name | Version | Summary | date |
| phiml |
1.8.0 |
Unified API for machine learning |
2024-09-07 10:41:41 |
| Piscis |
0.2.1 |
An automatic deep learning algorithm for spot detection in fluorescence microscopy images. |
2024-09-07 03:50:08 |
| zenml-nightly |
0.65.0.dev20240907 |
ZenML: Write production-ready ML code. |
2024-09-07 01:00:35 |
| ml4xcube |
1.1.0 |
ML package for data cubes |
2024-09-06 16:42:19 |
| qoa4ml |
0.3.3 |
Quality of Analysis for Machine Learning |
2024-09-06 07:03:48 |
| icflow |
0.0.12 |
A collection of simple utilities for machine learning workflows. |
2024-09-06 06:50:40 |
| gradio |
4.43.0 |
Python library for easily interacting with trained machine learning models |
2024-09-06 01:22:53 |
| rdt |
1.12.4 |
Reversible Data Transforms |
2024-09-05 19:24:23 |
| mlxplain |
1.0.4 |
An open platform for accelerating the development of eXplainable AI systems |
2024-09-04 13:59:03 |
| reax |
0.2.0 |
REAX: A simple training framework for JAX-based projects |
2024-09-04 12:29:13 |
| mosec |
0.8.7 |
Model Serving made Efficient in the Cloud |
2024-09-04 07:31:53 |
| dimlpfidex |
1.0.0 |
Discretized Interpretable Multi Layer Perceptron (DIMLP) and related algorithms |
2024-09-03 12:31:53 |
| metatensor-torch |
0.5.5 |
TorchScript bindings for metatensor |
2024-09-03 09:40:47 |
| sedpack |
0.0.5 |
General ML dataset package |
2024-09-02 10:46:07 |
| swanlab |
0.3.19 |
Python library for streamlined tracking and management of AI training processes. |
2024-09-02 02:56:31 |
| rules-extraction |
0.1.4 |
Rules extraction for eXplainable AI |
2024-08-29 12:39:23 |
| metatensor-learn |
0.2.3 |
Building blocks for the atomistic machine learning models based on PyTorch and NumPy |
2024-08-29 10:13:38 |
| metatensor-operations |
0.2.3 |
Operations to manipulate metatensor data types |
2024-08-28 15:45:59 |
| scalable-vs |
0.0.5 |
Scalable Vector Search (SVS) is a performance library for vector similarity search. |
2024-08-28 14:47:39 |
| metatensor-core |
0.1.10 |
Python bindings for metatensor |
2024-08-28 13:21:29 |