hyperparameter-optimization topic
ml-pipeline
Using Kafka-Python to illustrate a ML production pipeline
gama
An automated machine learning tool aimed to facilitate AutoML research.
naturalselection
A general-purpose pythonic genetic algorithm.
miraiml
MiraiML: asynchronous, autonomous and continuous Machine Learning in Python
autocluster
AutoML for clustering models in sklearn.
global_optimization
Heuristic global optimization algorithms in Python
autolgbm
LightGBM + Optuna: Auto train LightGBM directly from CSV files, Auto tune them using Optuna, Auto serve best model using FastAPI. Inspired by Abhishek Thakur's AutoXGB.
bore
Bayesian Optimization with Density-Ratio Estimation
mosaic_ml
AutoML with MCTS
shadho
Scalable, structured, dynamically-scheduled hyperparameter optimization.