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Author:
Björn Bethge
Summary:
PyDeevo is a comprehensive framework for neural network architecture search, hyperparameter optimization, and efficient training. It integrates modern deep learning tools into a cohesive, modular ecosystem: PyTorch Lightning: For structured, scalable deep learning Optuna: For efficient hyperparameter optimization PyGAD: For evolutionary architecture search Polars & DuckDB: For high-performance data processing and analytics Advanced Utils: For distributed training, profiling, and deployment
Latest version:
0.0.1
Required dependencies:
altair
|
duckdb
|
lightning
|
optuna
|
polars
|
pygad
|
sqlglot
|
usearch
|
zenml
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