| Name | Version | Summary | date |
| openllm-core |
0.4.44 |
OpenLLM Core: Core components for OpenLLM. |
2024-02-06 03:08:52 |
| openllm-client |
0.4.44 |
OpenLLM Client: Interacting with OpenLLM HTTP/gRPC server, or any BentoML server. |
2024-02-06 03:08:50 |
| openllm |
0.4.44 |
OpenLLM: Operating LLMs in production |
2024-02-06 03:08:49 |
| otxdeploy |
0.14.1 |
(Temp fork for PyPI packaging) OpenMMLab Model Deployment |
2024-02-05 07:48:47 |
| rest-model-service |
0.6.0 |
RESTful service for hosting machine learning models. |
2023-12-28 03:53:26 |
| mmdeploy-runtime-gpu |
1.3.1 |
OpenMMLab Model Deployment SDK python api |
2023-12-25 12:35:23 |
| mmdeploy-runtime |
1.3.1 |
OpenMMLab Model Deployment SDK python api |
2023-12-25 12:33:38 |
| mmdeploy |
1.3.1 |
OpenMMLab Model Deployment |
2023-12-25 12:33:18 |
| genai_stack |
0.2.6 |
End-to-End Secure & Private Generative AI for All |
2023-11-08 16:22:53 |
| onediffusion |
0.0.3 |
Onediffusion: REST API server for running any diffusion models - Stable Diffusion, Anything, ControlNet, Lora, Custom |
2023-09-07 19:40:55 |
| aihero |
0.3.0 |
AI Hero Python SDK |
2023-08-25 23:44:29 |
| baseten |
0.8.1 |
Deploy machine learning models to Baseten |
2023-08-16 21:02:56 |
| kcai-bentoml |
1.0.22.post3 |
BentoML: The Unified Model Serving Framework |
2023-07-25 11:24:39 |
| bentoml-core |
0.1.0 |
The rust core of BentoML: The Unified Model Serving Framework |
2023-05-23 07:20:46 |
| ml-base |
0.2.2 |
Base classes and utilities that are useful for deploying ML models. |
2023-02-02 03:42:36 |
| bentoml-plugins-arize |
0.1.0 |
BentoML Monitoring Arize Plugin |
2022-12-02 01:44:11 |