optuna

📒 Experiment tracking tool and model registry

Real-time Web Dashboard for Optuna.

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

Python library for CMA Evolution Strategy.

Code repository for the online course Hyperparameter Optimization for Machine Learning

🔍 Lookup classes and instantiate them with style

ProphitBet is a Machine Learning Soccer Bet prediction application. It analyzes the form of teams, computes match statistics and predicts the outcomes of a match using Advanced Machine Learning (ML) methods. The supported algorithms in this application are Neural Networks, Random Forests & Ensembl Models.

📝 Examples of experiment tracking, model registry, data versioning, and monitoring machine learning model training live in neptune.ai

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.

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

OptKeras: wrapper around Keras and Optuna for hyperparameter optimization

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

Classifying Audio to Emotion

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

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

Tools for Optuna, MLflow and the integration of both.

QPTUNA: QSAR model building with the optuna framework

A game search and evaluation parameter tuner using optuna framework

The following repository contains source code for a 100 Day personal machine learning coding challenge. It contains projects that I do as a part of my learning

Trying PostgreSQL parameter tuning using machine learning.