Popular GitHub Repositories for Optuna

? The experiment tracker for foundation model training

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

A project to deploy an online app that predicts the win probability for each NBA game every day. Demonstrates end-to-end Machine Learning deployment.

Make GNN easy to start with

PyTorch-Lightning Library for Neural News Recommendation

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.

PyTorch tutorial for using RNN and Encoder-Decoder RNN for time series forecasting

This is the implementation of the paper Enhanced Photovoltaic Power Forecasting: An iTransformer and LSTM-Based Model Integrating Temporal and Covariate Interactions

?? AllenNLP plugin for adding subcommands to use Optuna, making hyperparameter optimization easy

Train, evaluate, and optimize implicit feedback-based recommender systems.

Tutorial on training a PyTorch neural network model using MLflow for experiment tracking & Optuna for hyperparameter optimization.

Classifying Audio to Emotion

Example codes in the medium post titled "Optuna meets Weights and Biases."

Hyperparameter optimization study for a PyTorch CNN with Optuna.

Tools for Optuna, MLflow and the integration of both.

Stock Prediction using LSTM, Linear Regression, ARIMA and GARCH models. Hyperparameter Optimization using Optuna framework for LSTM variants.

Python library and dashboard for hyperparameter search and model training for computer vision tasks based on PyTorch, Optuna, FiftyOne, Dash, Segmentation Model Pytorch.

zero-code hyperparameters optimization framework

Machine Learning Toolbox 2

A Machine Learning project for Machine Learning Internship offered by InternshipStudio.