Hyperparameter optimization for machine learning algorithms.
MIT License
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Optuna-optimized ML methods, with scikit-learn like API
Non-Linear Least Squares Minimization, with flexible Parameter settings, based on scipy.optimize,...
Distributed Asynchronous Hyperparameter Optimization in Python
Easy-to-use and flexible AutoML library for Python
Machine Learning algorithm implementations from scratch.
Example project to do hyperparameter tuning with Dagster, Mlflow, Optuna
Minimal and clean examples of machine learning algorithms implementations
Code repository for the online course Hyperparameter Optimization for Machine Learning
Machine learning's parameter search and feature selection module which is integrated log managem...
State-of-the art Automated Machine Learning python library for Tabular Data
An optimized deep prompt tuning strategy comparable to fine-tuning across scales and tasks
Implementation of different ML Algorithms from scratch, written in Python 3.x
This repository is the source code for fine tuning any LLM in just one line 🔥
Hyperparameter optimization with approximate gradient