| Name | Version | Summary | date |
| openlayer |
0.1.0a35 |
The official Python API library for Openlayer: the Testing and Debugging Platform for AI |
2024-04-25 05:20:02 |
| qwak-core |
0.3.169 |
Qwak Core contains the necessary objects and communication tools for using the Qwak Platform |
2024-04-24 08:52:44 |
| neptune-fetcher |
0.3.0 |
Neptune Fetcher |
2024-04-23 11:36:53 |
| clearml-session |
0.14.0 |
clearml-session - CLI for launching JupyterLab / VSCode on a remote machine |
2024-04-20 20:50:37 |
| burr |
0.14.0 |
A state machine for data projects |
2024-04-16 05:17:36 |
| qwak-sdk |
0.5.66 |
Qwak SDK and CLI for qwak models |
2024-04-14 10:14:47 |
| jina |
3.25.1 |
Multimodal AI services & pipelines with cloud-native stack: gRPC, Kubernetes, Docker, OpenTelemetry, Prometheus, Jaeger, etc. |
2024-04-10 14:41:45 |
| truss |
0.9.9 |
A seamless bridge from model development to model delivery |
2024-04-08 18:24:12 |
| neptune-client |
1.10.2 |
Neptune Client |
2024-04-08 08:28:36 |
| neptune |
1.10.2 |
Neptune Client |
2024-04-08 08:28:29 |
| argilla-server |
1.26.1 |
Open-source tool for exploring, labeling, and monitoring data for NLP projects. |
2024-03-27 13:02:09 |
| wanna-ml |
0.3.5 |
CLI tool for managing ML projects on Vertex AI |
2024-03-18 09:36:56 |
| neptune-tensorflow-keras |
2.2.2 |
Neptune.ai tensorflow-keras integration library |
2024-03-14 08:52:53 |
| qwak-inference |
0.1.14 |
Qwak Inference is a Python library for running predictions again Qwak Models. |
2024-03-12 08:16:03 |
| tgedr-dataops |
0.0.28 |
data operations related code |
2024-03-06 22:10:23 |
| neptune-aws |
1.1.1 |
Neptune.ai Tools for using Neptune client on AWS integration library |
2024-03-05 11:23:02 |
| neptune-tensorboard |
1.0.3 |
Neptune.ai Tensorboard integration library |
2024-03-05 09:39:58 |
| geniusrise-text |
0.1.13 |
Text bolts for geniusrise |
2024-03-04 19:43:53 |
| superlaser |
0.0.6 |
An MLOps library for LLM deployment w/ the vLLM engine on RunPod's infra. |
2024-03-02 20:54:35 |
| django_mlops |
0.1.2 |
A Django app for MLOps: eliminate unnecessary duplication of tools and project complexity |
2024-02-29 23:06:37 |