Name | Version | Summary | date |
pulumi-runpod |
1.2.4 |
The Runpod Pulumi provider provides resources to interact with Runpod's native APIs. |
2024-04-04 01:43:39 |
runpod-pulumi-infra |
1.2.2 |
The Runpod Pulumi provider provides resources to interact with Runpod's native APIs. |
2024-04-04 00:40:33 |
modelcaller |
0.1 |
ModelCaller for AI |
2024-04-02 19:26:28 |
MLStructFP |
0.5.7 |
Machine learning structural floor plan dataset |
2024-04-01 00:34:22 |
verticapy |
1.0.3 |
VerticaPy simplifies data exploration, data cleaning, and machine learning in Vertica. |
2024-03-29 17:14:47 |
tensorflow-compression-ops |
2.16.0 |
Data compression ops for TensorFlow |
2024-03-27 19:52:10 |
TabularWizard |
0.1 |
A brief description of TabularWizard. |
2024-03-26 16:53:06 |
joatmon |
3.2.0 |
General Purpose Python Library |
2024-03-24 09:38:09 |
MK-AI |
1.0.7 |
MK-AI is a Python package that allows you to classify stars using the MK system and machine learning. |
2024-03-15 20:08:02 |
nett-benchmarks |
0.3.1 |
A testbed for comparing the learning abilities of newborn animals and autonomous artificial agents. |
2024-03-15 19:58:43 |
batch-dev |
0.0.3 |
Generic python module for handling dictionary-based batch data |
2024-03-07 12:00:08 |
gurobi-machinelearning |
1.5.0 |
package to insert ML models in Gurobi |
2024-03-06 14:47:27 |
deep3-python-client |
0.0.4 |
Deep3 Labs Python API client |
2024-03-03 02:18:48 |
eloquentarduino |
1.0.0 |
A wrapper for Edge Impulse Linux package |
2024-03-01 10:44:28 |
anti-spam-riphub |
0.0.3 |
Anti-spam module. |
2024-03-01 10:40:27 |
qiskit-machine-learning |
0.7.2 |
Qiskit Machine Learning: A library of quantum computing machine learning experiments |
2024-02-29 16:41:37 |
nendo-plugin-voicegen-styletts2 |
0.1.1 |
A text to speech plugin based on StyleTTS2. |
2024-02-29 15:49:28 |
flowcept |
0.2.10 |
FlowCept is a runtime data integration system that empowers any data processing system to capture and query workflow provenance data using data observability, requiring minimal or no changes in the target system code. It seamlessly integrates data from multiple workflows, enabling users to comprehend complex, heterogeneous, and large-scale data from various sources in federated environments. |
2024-02-28 17:48:12 |
mlia |
0.8.0 |
ML Inference Advisor |
2024-02-28 15:37:37 |
jcopml |
1.2.7 |
J.COp ML is a machine Learning package to complement scikit-learn workflow |
2024-02-25 16:43:49 |