hyperparameter-optimization topic

This project leverages spotify's api and provided user playlists to create and tune a neural network model that generates song recommendations based off of song data in provided playlists.

BobbyWilt

This repository contains demo notebooks (sample code) for the AutoMLx (automated machine learning and explainability) package from Oracle Labs.

oracle-samples

Improve prompts for e.g. GPT3 and GPT-J using templates and hyperparameter optimization.

Mavenoid

The project provides a complete end-to-end workflow for building a binary classifier in Python to recognize the risk of housing loan default. It includes methods like automated feature engineering for...

abhishekdbihani

Classification of Cifar-10 dataset using a convolutional neural network. The hyper parameters to construct CNN architecture are optimized using genetic algorithm.

KrishnaManmayi

[NeurIPS 2021] Well-tuned Simple Nets Excel on Tabular Datasets

releaunifreiburg

sharpDARTS: Faster and More Accurate Differentiable Architecture Search

ahundt

An Ensemble DL Model Tuned with Genetic Algorithm for Oil Production Forecasting.

ashrafalaghbari

A PyTorch implementation of Latent Factor Analysis via Dynamical Systems (LFADS) and AutoLFADS.

arsedler9

Python library for automatic training, optimization and comparison of Transformer models on most NLP tasks.

avacaondata