Optunaoptuna/optuna
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.

NannyML/nannyml
Python library capable of fully capturing the impact of data drift on performance. Allows estimation of post-deployment model performance without access to targets.
Optuna is an automatic hyperparameter optimization software framework, particularly designed for machine learning.
AutoML for Image, Text, Tabular, Time-Series, and MultiModal Data.
Tool that automatically creates and optimizes machine learning pipelines using genetic programming. Consider it your personal data science assistant, automating a tedious part of machine learning.
Fastest unstructured dataset management for TensorFlow/PyTorch. Stream & version-control data. Store even petabyte-scale data in a single numpy-like array on the cloud accessible on any machine. Visit activeloop.ai for more info.
Toolkit for package and deploy machine learning models for serving in production
Interactive reports to analyze machine learning models during validation or production monitoring.
Auto-Magical CI/CD to streamline your AI workload. Experiment Management, Data Management, Pipeline, Orchestration, Scheduling & Serving in one MLOps/LLMOps solution.
> An easy-to-use & supercharged open-source AI metadata tracker.