hyperparameters-optimization

Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.

tensorflow keras cnn hyperparameter-optimization hyperopt hyperparameters-optimization hyperparameter-tuning cnn-keras hyperparameter-search

UpdatedMay 6, 2018
Python

dc-aichara /DS-ML-Public

Star51

Python Scripts and Jupyter Notebooks

python data-science machine-learning data-mining news telegram dashboard bitcoin plotly dash web-scraping data-visualisation xgboost lightgbm data-analysis beautifulsoup hyperparameters-optimization bayesian-optimization hyperparameter-tuning catboost

UpdatedApr 17, 2024
Jupyter Notebook

reiase /hyperparameter

Star23

Hyperparameter, Make configurable AI applications.Build for Python hackers.

data-science machine-learning deep-learning hyperparameters hyperparameters-optimization hyperparameters-tuning

UpdatedJun 23, 2024
Rust

yassineAlouini /hyperparameters-optimization

Star11

The accompanying repo for the hyperparameters optimization bdx meetup talk, blog post and webinar

hyperopt hyperparameters-optimization

UpdatedFeb 1, 2017
Jupyter Notebook

angusfung /pbt-gan

Star10

Applying Population Based Training on Generative Adversarial Networks.

gan machinelearning deepmind hyperparameters-optimization pbt population-based-training

UpdatedNov 23, 2018
Python

IFFranciscoME /Genetic-Finance

Star10

Implementations of Genetic Methods for Financial Machine Learning Applications

python genetic-programming hyperparameters-optimization genetic-algorithms evolutionary-computation topology-optimization financial-machine-learning symbolic-model

UpdatedJun 1, 2021
HTML

JLX0 /llm-automl

Star5

Automate machine learning tasks at the code level with LLMs and autoML | Based on the TMLR paper "Large Language Models Synergize with Automated Machine Learning"

python machine-learning ml code-generation hyperparameters-optimization nas hyperparameter-tuning automl autonomous-agents automated-machine-learning autonomous-systems neural-architecture-search hyperparameter-search programsynthesis llm llms large-language-model large-langage-models

UpdatedSep 9, 2024

giuliots95 /Time_series_forecast_with_LSTM_network

Star4

This repository contains the implementation of a recurrent neural network (LSTM from keras library) with the purpose of forecasting target time series, given the targets historical records and covariates. The project uses a toy data set, while focusing on the data transformation tasks (pandas dataframes to 3D numpy arrays required by recurrent n…

tensorflow hyperparameters-optimization lstm-neural-network timeseries-forecasting kerastuner

UpdatedJun 29, 2022
Jupyter Notebook

aurelienmorgan /french_text_sentiment

Star2

Sentiment Analysis in texts written in French language using Tensorflow/Keras (and using XGBoost for hyperparameters optimization)

python nlp sentiment-analysis tensorflow multiprocessing scikit-learn keras jupyter-notebook web-scraping gru xgboost rnn beautifulsoup french transfer-learning dask hyperparameters-optimization fasttext

UpdatedSep 9, 2020
Python

Moddy2024 /Cat-or-Dog-Image-Classification

Star1

I have trained two different CNN models for binary image classification to see which architecture has better accuracy, takes less time in training, how hyperparamters affect training and how many epochs do each of them need. I achieved 96% accuracy on the best model.

machine-learning computer-vision deep-learning tensorflow keras cnn image-classification convolutional-neural-networks hyperparameters-optimization hyperparameter-search catvsdog-classifier hyperparameter-importance

UpdatedNov 10, 2022
Jupyter Notebook

aquemy /DOLAP_2019_supplementary_material

Sponsor

Star1

Supplementary material for DOLAP 2019 submission

hyperparameter-optimization data-preprocessing hyperparameters-optimization data-pipelines

UpdatedDec 17, 2018

PFalkowski /SimpleRegression

Star0

machine-learning regression hyperparameters-optimization

UpdatedJun 9, 2019
Python

marvinzh /cma_es

Star0

a CMA-ES based hyperparameter optimization tool for NMT.

deeplearning hyperparameters-optimization

UpdatedFeb 2, 2018
Python

mekhod /boston_housing

Star0

An exploratory data analysis is performed and a regression model is used to predict house values. The prediction performance is optimized after tuning the model hyper-parameters to minimize bias/variance errors.

python cross-validation hyperparameters-optimization grid-search regresssion