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Artificial Neural Network, is a deep learning API written in Python.

A simple neural network implementation

Neural network from scratch

My first Python package

Utilities for building code and document fine-tuning datasets.

A library that leverages pre-trained BERT models for multilingual text classification (French, German, English, and Luxembourgish) with easy-to-use fine-tuning capabilities.

A library that leverages pre-trained XLM-RoBERTa models for multilingual text classification (French, German, English, and Luxembourgish) with easy-to-use fine-tuning capabilities.

调参工具

Framework for integrated energy systems assessment

No description available

A minimal framework for running hyperparameter tuning

Reserved package name for Predicat (placeholder).

Tune the initial recurrent state of hybrid models. Zero inference overhead.

Tuning some machine learning function parameters

The package ntrees_tuning is an extension to sklearn. To Random Forests and Gradient Boosting it adds the ntrees parameter which gives control over how many trees are used for prediction. The main benefit is that it enables to tune the ntrees parameter w.r.t. the OOB-error without having to retrain a new model for each value of ntrees.

Auto tuning for PX4

No description available

Analyse the tuning functions of neurons in artificial neural networks

Tuning Box - configuration storage for your clouds

A clip/sample auto tuner