hyperparameters-optimization | Topic

Topic: "hyperparameters-optimization"

mlr-org/mlr

Machine Learning in R

Language: R - Size: 604 MB - Last synced at: 8 days ago - Pushed at: 10 months ago - Stars: 1,662 - Forks: 405

awslabs/Renate

Library for automatic retraining and continual learning

Language: Python - Size: 6.58 MB - Last synced at: 4 days ago - Pushed at: 8 months ago - Stars: 293 - Forks: 6

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.

Language: Python - Size: 119 MB - Last synced at: about 1 month ago - Pushed at: about 7 years ago - Stars: 106 - Forks: 76

dc-aichara/DS-ML-Public

Python Scripts and Jupyter Notebooks

Language: Jupyter Notebook - Size: 3.15 MB - Last synced at: 20 days ago - Pushed at: about 1 year ago - Stars: 51 - Forks: 38

reiase/hyperparameter

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

Language: Rust - Size: 788 KB - Last synced at: 17 days ago - Pushed at: 11 months ago - Stars: 23 - Forks: 1

yassineAlouini/hyperparameters-optimization

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

Language: Jupyter Notebook - Size: 67.6 MB - Last synced at: over 2 years ago - Pushed at: over 8 years ago - Stars: 11 - Forks: 3

IFFranciscoME/Genetic-Finance

Implementations of Genetic Methods for Financial Machine Learning Applications

Language: HTML - Size: 18.7 MB - Last synced at: about 1 month ago - Pushed at: almost 4 years ago - Stars: 10 - Forks: 2

angusfung/pbt-gan

Applying Population Based Training on Generative Adversarial Networks.

Language: Python - Size: 3.57 MB - Last synced at: 2 months ago - Pushed at: over 6 years ago - Stars: 10 - Forks: 2

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.

Language: Jupyter Notebook - Size: 2.42 MB - Last synced at: over 1 year ago - Pushed at: almost 3 years ago - Stars: 4 - Forks: 0

aurelienmorgan/french_text_sentiment

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

Language: Python - Size: 21.9 MB - Last synced at: about 2 months ago - Pushed at: over 4 years ago - Stars: 2 - Forks: 0

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.

Language: Jupyter Notebook - Size: 129 MB - Last synced at: about 2 years ago - Pushed at: over 2 years ago - Stars: 1 - Forks: 0