hyperparameters-optimization

There are 1 repository under hyperparameters-optimization topic.

mlr-org / mlr
Machine Learning in R
classification clustering cran data-science feature-selection hyperparameters-optimization imbalance-correction learners machine-learning mlr multilabel-classification predictive-modeling r r-package regression stacking statistics survival-analysis tuning tutorial
Language:R 1661
awslabs / Renate
Library for automatic retraining and continual learning
aws continual-learning machine-learning machine-learning-algorithms neural neural-network pytorch pytorch-lightning sagemaker hyperparameter-tuning hyperparameters-optimization
Language:Python 297
guillaume-chevalier / Hyperopt-Keras-CNN-CIFAR-100
Auto-optimizing a neural net (and its architecture) on the CIFAR-100 dataset. Could be easily transferred to another dataset or another classification task.
cnn cnn-keras hyperopt hyperparameter-optimization hyperparameter-search hyperparameter-tuning hyperparameters-optimization keras tensorflow
Language:Python 106
DS-ML-Public
dc-aichara / DS-ML-Public
Python Scripts and Jupyter Notebooks
bayesian-optimization beautifulsoup bitcoin catboost dash dashboard data-analysis data-mining data-science data-visualisation hyperparameter-tuning hyperparameters-optimization lightgbm machine-learning news plotly python telegram web-scraping xgboost
Language:Jupyter Notebook 51
reiase / hyperparameter
Hyperparameter, Make configurable AI applications.Build for Python hackers.
machine-learning deep-learning data-science hyperparameters hyperparameters-optimization hyperparameters-tuning
Language:Rust 23
yassineAlouini / hyperparameters-optimization
The accompanying repo for the hyperparameters optimization bdx meetup talk, blog post and webinar
hyperparameters-optimization hyperopt
Language:Jupyter Notebook 11
angusfung / pbt-gan
Applying Population Based Training on Generative Adversarial Networks.
deepmind gan hyperparameters-optimization machinelearning pbt population-based-training
Language:Python 10
IFFranciscoME / Genetic-Finance
Implementations of Genetic Methods for Financial Machine Learning Applications
python genetic-algorithms genetic-programming evolutionary-computation topology-optimization hyperparameters-optimization symbolic-model financial-machine-learning
Language:HTML 10
JLX0 / llm-automl
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"
automated-machine-learning automl autonomous-agents autonomous-systems code-generation hyperparameter-search hyperparameter-tuning hyperparameters-optimization large-langage-models large-language-model llm llms machine-learning ml nas neural-architecture-search programsynthesis python
5
giuliots95 / Time_series_forecast_with_LSTM_network
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 networks) and on the hyperparameters tuning tasks, taking advantage of keras_tuner package.
hyperparameters-optimization kerastuner lstm-neural-network tensorflow timeseries-forecasting
Language:Jupyter Notebook 4
aurelienmorgan / french_text_sentiment
Sentiment Analysis in texts written in French language using Tensorflow/Keras (and using XGBoost for hyperparameters optimization)
beautifulsoup dask fasttext french gru hyperparameters-optimization jupyter-notebook keras multiprocessing nlp python rnn scikit-learn sentiment-analysis tensorflow transfer-learning web-scraping xgboost
Language:Python 2
aquemy / DOLAP_2019_supplementary_material
Supplementary material for DOLAP 2019 submission
hyperparameter-optimization hyperparameters-optimization data-pipelines data-preprocessing
1
Moddy2024 / Cat-or-Dog-Image-Classification
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.
computer-vision image-classification keras tensorflow catvsdog-classifier cnn convolutional-neural-networks deep-learning hyperparameter-importance hyperparameter-search hyperparameters-optimization machine-learning
Language:Jupyter Notebook 1
Hands-On-Fraud-Analytics / Chapter-18-Classification-Techniques-For-Fraud-Detection
Classification-Techniques-For-Fraud-Detection
autogluon classification classification-metrics classification-model fraud-detection hyperparameters-optimization lab machine-learning model non-convex-optimization optimization-algorithms pandas-dataframe parameters receiver-operating-characteristic seaborn-plots
Language:Jupyter Notebook 0
jw-mcgrath / HyperYAML
A library to build and run HyperOpt Hyper Parameter Optimization Schemes
machine-learning machine-learning-algorithms hyperparameter-optimization hyperparameters-optimization
Language:Python 0
marvinzh / cma_es
a CMA-ES based hyperparameter optimization tool for NMT.
hyperparameters-optimization deeplearning
Language:Python 0
mekhod / boston_housing
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.
regresssion hyperparameters-optimization grid-search cross-validation python
Language:HTML 0
igoracmorais / tuning_hyperparameters
Diferentes processos que podem ser usados para encontrar os hyperparâmetros ótimos em aplicações de Inteligência Artificial.
hyperparameters-optimization bayesian-optimization machine-learning-algorithms artificial-intelligence-algorithms tuning-parameters
Language:Jupyter Notebook
PFalkowski / SimpleRegression
hyperparameters-optimization machine-learning regression
Language:Python