hyperparameter-optimization topic

Interactive deep learning book with multi-framework code, math, and discussions. Adopted at 500 universities from 70 countries including Stanford, MIT, Harvard, and Cambridge.

d2l-ai

Accelerate your Neural Architecture Search (NAS) through fast, reproducible and modular research.

microsoft

GANs for Time series analysis (Synthetic data generation, anomaly detection and interpolation), Hypertuning using Optuna, MLFlow and Databricks

BenChaliah

A portfolio optimization tool with scikit-learn interface. Hyperparameters selection and easy plotting of efficient frontiers.

scikit-portfolio

Low code machine learning library, specified for insurance tasks: prepare data, build model, implement into production.

MindSetLib

A Python Automated Machine Learning tool that optimizes machine learning pipelines using genetic programming.

EpistasisLab

PyXAB - A Python Library for X-Armed Bandit and Online Blackbox Optimization Algorithms

WilliamLwj

Using K-Means algorithm for customer segmentation due to credit card behavior

erenonal

[NeurIPS DBT 2021] HPO-B

releaunifreiburg

Streamlining reinforcement learning with RLOps. State-of-the-art RL algorithms and tools.

AgileRL