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Projects in Awesome Lists tagged with optuna

A curated list of projects in awesome lists tagged with optuna .

https://github.com/jmrichardson/tuneta

Intelligently optimizes technical indicators and optionally selects the least intercorrelated for use in machine learning models

correlation finance hyperparameter-optimization machine-learning optimize optuna pareto-front stock-market stocks technical-analysis technical-indicators trading trading-systems tune

Last synced: 01 Aug 2024

https://github.com/cthoyt/class-resolver

🔍 Lookup classes and instantiate them with style

optuna python pytorch utility

Last synced: 03 Aug 2024

https://github.com/weiji14/deepbedmap

Going beyond BEDMAP2 using a super resolution deep neural network. Also a convenient flat file data repository for high resolution bed elevation datasets around Antarctica.

antarctica bedmap binder chainer data-science deep-neural-network digital-elevation-model flat-file-db generative-adversarial-network glaciology jupyter-notebook optuna pangeo remote-sensing super-resolution

Last synced: 08 Aug 2024

https://github.com/minyus/optkeras

OptKeras: wrapper around Keras and Optuna for hyperparameter optimization

deep deep-learning hyperparameter-optimization hyperparameters keras neural-network optuna

Last synced: 27 Sep 2024

https://github.com/klieret/ray-tune-slurm-demo

Testing ray tune with slurm batch submission and optuna and wandb

hyperparameter-optimization hyperparameter-tuning ml optuna ray slurm wandb

Last synced: 03 Oct 2024

https://github.com/tokusumi/hyperparameter_tuning

Optuna hyperparameter search wrapper

optuna sckiit-learn

Last synced: 01 Oct 2024

https://github.com/szymon-budziak/real_estate_house_prices_prediction

Predicting real estate house prices using various machine learning algorithms, including data exploration, preprocessing, model training, and evaluation.

data-analysis data-preprocessing data-science eda jupyter-notebook machine-learning matplotlib numpy optuna pandas predictive-modeling price-prediction python random-forest regression scikit-learn seaborn

Last synced: 26 Sep 2024