Software Engineering for Machine Learning
84 items from se-ml/awesome-seml ★1,373
-
PyTorch Lightning github.com
The lightweight PyTorch wrapper for high-performance AI research. Scale your models, not the boilerplate.
-
Label Studio github.com
A multi-type data labeling and annotation tool with standardized output format.
-
great_expectations github.com
Always know what to expect from your data.
-
Neuraxle github.com
Sklearn-like framework for hyperparameter tuning and AutoML in deep learning projects.
-
alibi-detect github.com
Algorithms for outlier, adversarial and drift detection.
-
Seldon Core github.com
An MLOps framework to package, deploy, monitor and manage thousands of production machine learning models on Kubernetes.
-
TensorFlow Data Validation github.com
Library for exploring and validating machine learning data.
-
Archai github.com
Neural architecture search.
-
Robustness Metrics github.com
Lightweight modules to evaluate the robustness of classification models.
-
Model Card Toolkit github.com
Streamlines and automates the generation of model cards; for model documentation.
-
LiFT github.com
Linkedin fairness toolkit.
-
HParams github.com
A thoughtful approach to configuration management for machine learning projects.
-
REVISE: REvealing VIsual biaSEs github.com
Automatically detect bias in visual data sets.
