yqtianust/awesome-ml-testing
Awesome material(papers, tools, etc.) about testing machine learning system, including deep learning system.
Building reliable machine learning systems can be challenging. This resource gathers essential materials like research papers, software tools, and datasets specifically for testing and evaluating AI models, especially deep learning. It helps machine learning engineers and researchers ensure their models are robust, fair, and perform as expected in real-world scenarios, by providing curated information on how to assess model quality and identify potential issues.
No commits in the last 6 months.
Use this if you are a machine learning engineer or researcher responsible for developing, deploying, or evaluating AI systems and need to find methods and tools to thoroughly test their performance, robustness, and fairness.
Not ideal if you are looking for an off-the-shelf software solution to directly apply to your machine learning models without diving into research papers or understanding various testing methodologies.
Stars
47
Forks
3
Language
JavaScript
License
—
Category
Last pushed
Oct 12, 2021
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/ml-frameworks/yqtianust/awesome-ml-testing"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
voxel51/fiftyone
Refine high-quality datasets and visual AI models
academic/awesome-datascience
:memo: An awesome Data Science repository to learn and apply for real world problems.
sacridini/Awesome-Geospatial
Long list of geospatial tools and resources
r0f1/datascience
Curated list of Python resources for data science.
neomatrix369/awesome-ai-ml-dl
Awesome Artificial Intelligence, Machine Learning and Deep Learning as we learn it. Study notes...