Openlayer
Test, fix, and improve your ML models. We were ML engineers experiencing the struggle that goes into properly evaluating models, making them robust to the myriad of unexpected edge cases they encounter in production, and understanding the reasons behind their mistakes.
Reactions (2)
Similar products
by description similarity
The toolkit to test, validate, and evaluate your models and surface, curate, and prioritize the most valuable data for labeling.
Python library to scan ML models for vulnerabilities
docs.giskard.aiI’ve been working on this automatic scanner for ML models to detect issues like underperforming data slices, overconfidence in predictions, robustness problems, and others.
I'm a machine learning engineer who always found it annoying to integrate ML models into phone apps, smartwatch apps, microcontroller firmware etc...
Smolmodels
github.comopen-source tool to build ML models using natural language
A PyTorch implementation of constrained optimization and modeling techniques