| rstojnic/lazydata |
612 |
|
2 |
0 |
about 7 years ago |
19 |
September 18, 2018 |
9 |
apache-2.0 |
Python |
| Lazydata: Scalable data dependencies for Python projects |
| allegroai/clearml-server |
338 |
|
0 |
0 |
over 2 years ago |
0 |
|
89 |
other |
Python |
| ClearML - Auto-Magical Suite of tools to streamline your ML workflow. Experiment Manager, ML-Ops and Data-Management |
| TRI-ML/dgp |
84 |
|
0 |
0 |
about 2 years ago |
0 |
|
8 |
mit |
Python |
| ML Dataset Governance Policy for Autonomous Vehicle Datasets |
| US-Artificial-Intelligence/praetor-data |
62 |
|
0 |
0 |
over 2 years ago |
0 |
|
0 |
other |
Python |
| Praetor is a lightweight finetuning data and prompt management tool |
| adansons/base |
24 |
|
0 |
0 |
over 3 years ago |
1 |
August 09, 2022 |
6 |
mit |
Jupyter Notebook |
| Adansons Base is a data programming tool for error-analysis of training results. It organizes metadata of unstructured data and creates and organizes datasets. It makes dataset creation more effective and helps to find low-quality data by using the training results and improves AI performance. |
| SAP-samples/btp-data-to-value-workshop |
16 |
|
0 |
0 |
about 3 years ago |
0 |
|
4 |
apache-2.0 |
Jupyter Notebook |
| This repo contains a dataset, exercises, and sample code for an end-to-end SAP BTP data-to-value bootcamp covering SAP HANA Cloud, SAP Data Warehouse Cloud, SAP Data Intelligence Cloud, and SAP Analytics Cloud. |
| mad-lab-fau/tpcp |
13 |
|
0 |
6 |
about 2 years ago |
41 |
November 09, 2023 |
15 |
mit |
Python |
| Pipeline and Dataset helpers for complex algorithm evaluation. |
| awesome-mlops/awesome-ml-monitoring |
11 |
|
0 |
0 |
over 3 years ago |
0 |
|
|
apache-2.0 |
|
| A curated list of awesome open source tools and commercial products for monitoring data quality, monitoring model performance, and profiling data 🚀 |
