Ecosyste.ms: Repos

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GitHub topics: hyperparameters-optimization

awslabs/Renate

Library for automatic retraining and continual learning

Language: Python - Size: 6.29 MB - Last synced: 17 days ago - Pushed: 4 months ago - Stars: 264 - Forks: 7

aquemy/DOLAP_2019_supplementary_material

Supplementary material for DOLAP 2019 submission

Size: 5.04 MB - Last synced: 25 days ago - Pushed: over 5 years ago - Stars: 1 - 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: about 1 month ago - Pushed: over 3 years ago - Stars: 1 - Forks: 0

mlr-org/mlr

Machine Learning in R

Language: R - Size: 604 MB - Last synced: 20 days ago - Pushed: 20 days ago - Stars: 1,628 - Forks: 402

PFalkowski/SimpleRegression

Language: Python - Size: 38.1 KB - Last synced: about 2 months ago - Pushed: almost 5 years ago - Stars: 0 - Forks: 1

reiase/hyperparameter

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

Language: Rust - Size: 752 KB - Last synced: about 1 month ago - Pushed: 2 months ago - Stars: 23 - Forks: 1

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: 25 days ago - Pushed: about 6 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: 14 days ago - Pushed: about 1 month ago - Stars: 49 - Forks: 41

IFFranciscoME/Genetic-Finance

Implementations of Genetic Methods for Financial Machine Learning Applications

Language: HTML - Size: 18.7 MB - Last synced: 15 days ago - Pushed: almost 3 years ago - Stars: 10 - Forks: 2

Hands-On-Fraud-Analytics/Chapter-18-Classification-Techniques-For-Fraud-Detection

Classification-Techniques-For-Fraud-Detection

Language: Jupyter Notebook - Size: 7.47 MB - Last synced: 6 months ago - Pushed: 6 months ago - Stars: 0 - Forks: 0

marvinzh/cma_es

a CMA-ES based hyperparameter optimization tool for NMT.

Language: Python - Size: 21.5 KB - Last synced: 9 months ago - Pushed: over 6 years ago - Stars: 0 - Forks: 1

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: 4 months ago - Pushed: almost 2 years ago - Stars: 4 - 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: about 1 year ago - Pushed: over 1 year ago - Stars: 1 - Forks: 0

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: about 1 year ago - Pushed: over 7 years ago - Stars: 11 - Forks: 3

jw-mcgrath/HyperYAML

A library to build and run HyperOpt Hyper Parameter Optimization Schemes

Language: Python - Size: 5.86 KB - Last synced: 16 days ago - Pushed: about 5 years ago - Stars: 0 - Forks: 0

Related Keywords
hyperparameters-optimization 15 machine-learning 8 tensorflow 4 python 3 keras 3 hyperparameter-optimization 3 data-science 3 hyperparameter-tuning 3 hyperparameter-search 2 regression 2 web-scraping 2 beautifulsoup 2 machine-learning-algorithms 2 xgboost 2 deep-learning 2 classification 2 cnn 2 hyperopt 2 genetic-algorithms 1 genetic-programming 1 financial-machine-learning 1 symbolic-model 1 evolutionary-computation 1 telegram 1 plotly 1 news 1 lightgbm 1 data-visualisation 1 data-mining 1 data-analysis 1 dashboard 1 dash 1 catboost 1 bitcoin 1 bayesian-optimization 1 image-classification 1 hyperparameter-importance 1 convolutional-neural-networks 1 computer-vision 1 catvsdog-classifier 1 timeseries-forecasting 1 lstm-neural-network 1 kerastuner 1 deeplearning 1 seaborn-plots 1 receiver-operating-characteristic 1 parameters 1 pandas-dataframe 1 optimization-algorithms 1 non-convex-optimization 1 model 1 lab 1 fraud-detection 1 classification-model 1 classification-metrics 1 autogluon 1 topology-optimization 1 sentiment-analysis 1 scikit-learn 1 rnn 1 nlp 1 multiprocessing 1 jupyter-notebook 1 gru 1 french 1 fasttext 1 dask 1 data-preprocessing 1 data-pipelines 1 sagemaker 1 pytorch-lightning 1 pytorch 1 neural-network 1 neural 1 continual-learning 1 aws 1 cnn-keras 1 hyperparameters-tuning 1 hyperparameters 1 tutorial 1 tuning 1 survival-analysis 1 statistics 1 stacking 1 r-package 1 r 1 predictive-modeling 1 multilabel-classification 1 mlr 1 learners 1 imbalance-correction 1 feature-selection 1 cran 1 clustering 1 transfer-learning 1