| Name | Version | Summary | date |
| argilla-server |
2.7.0 |
Open-source tool for exploring, labeling, and monitoring data for NLP projects. |
2025-01-21 13:35:58 |
| zenml-nightly |
0.72.0.dev20250121 |
ZenML: Write production-ready ML code. |
2025-01-21 00:52:52 |
| primeway |
0.1 |
Cli for primeway.io |
2025-01-19 22:02:01 |
| pixeltable |
0.3.0 |
AI Data Infrastructure: Declarative, Multimodal, and Incremental |
2025-01-17 18:51:38 |
| bentoml |
1.3.20 |
BentoML: The easiest way to serve AI apps and models |
2025-01-17 06:59:23 |
| mlrun |
1.7.2 |
Tracking and config of machine learning runs |
2025-01-16 19:31:44 |
| outerbounds |
0.3.133 |
More Data Science, Less Administration |
2025-01-15 20:56:51 |
| hopsworks |
4.1.5 |
Hopsworks Python SDK to interact with Hopsworks Platform, Feature Store, Model Registry and Model Serving |
2025-01-15 17:46:45 |
| cmind |
3.5.3 |
Collective Mind automation framework (CM) |
2025-01-15 13:14:30 |
| cmx4mlops |
0.0.2 |
CMX4MLOps repository |
2025-01-15 11:54:29 |
| superduper-framework |
0.5.1 |
🔮 Bring AI to your favourite database 🔮 |
2025-01-14 10:54:35 |
| superduper-ibis |
0.5.1 |
Superduper ibis is a plugin for ibis-framework that allows you to use Superduper as a backend for your ibis queries. |
2025-01-14 10:39:04 |
| zenml |
0.72.0 |
ZenML: Write production-ready ML code. |
2025-01-13 17:57:46 |
| wiseprophet |
0.0.10 |
WiseProphet Platform package creation written by wiseitech |
2025-01-13 15:06:19 |
| superduper-qdrant |
0.5.0 |
SuperDuper Lance is a Python library that provides a high-level API for working with Lance vector search database. |
2025-01-13 14:36:12 |
| superduper-lance |
0.5.0 |
SuperDuper Lance is a Python library that provides a high-level API for working with Lance vector search database. |
2025-01-13 14:34:50 |
| superduper-vllm |
0.5.0 |
Superduper allows users to work with self-hosted LLM models via [vLLM](https://github.com/vllm-project/vllm). |
2025-01-13 14:25:40 |
| superduper-transformers |
0.5.0 |
Transformers is a popular AI framework, and we have incorporated native support for Transformers to provide essential Large Language Model (LLM) capabilities. |
2025-01-13 14:25:39 |
| superduper-sentence-transformers |
0.5.0 |
superduper allows users to work with self-hosted embedding models via [Sentence-Transformers](https://sbert.net). |
2025-01-13 14:25:30 |
| superduper-torch |
0.5.0 |
Superduper allows users to work with arbitrary `torch` models, with custom pre-, post-processing and input/ output data-types, as well as offering training with superduper |
2025-01-13 14:25:11 |