Pinned Repositories
AndreaAmico.github.io
Auto_TS
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
autogluon
AutoGluon: AutoML for Text, Image, and Tabular Data
deep_em_classifier
Eye movement classification with a 1D CNN-BLSTM model
DeepTabular
dl-4-tsc
Deep Learning for Time Series Classification
h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
LSTM-FCN
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
lstm_autoencoder_classifier
An LSTM Autoencoder for rare event classification
LSTM_TEST
understanding LSTM
zabarhoumi's Repositories
zabarhoumi/AndreaAmico.github.io
zabarhoumi/Auto_TS
Automatically build ARIMA, SARIMAX, VAR, FB Prophet and XGBoost Models on Time Series data sets with a Single Line of Code. Now updated with Dask to handle millions of rows.
zabarhoumi/autogluon
AutoGluon: AutoML for Text, Image, and Tabular Data
zabarhoumi/deep_em_classifier
Eye movement classification with a 1D CNN-BLSTM model
zabarhoumi/DeepTabular
zabarhoumi/dl-4-tsc
Deep Learning for Time Series Classification
zabarhoumi/h2o-3
H2O is an Open Source, Distributed, Fast & Scalable Machine Learning Platform: Deep Learning, Gradient Boosting (GBM) & XGBoost, Random Forest, Generalized Linear Modeling (GLM with Elastic Net), K-Means, PCA, Generalized Additive Models (GAM), RuleFit, Support Vector Machine (SVM), Stacked Ensembles, Automatic Machine Learning (AutoML), etc.
zabarhoumi/LSTM-FCN
Codebase for the paper LSTM Fully Convolutional Networks for Time Series Classification
zabarhoumi/lstm_autoencoder_classifier
An LSTM Autoencoder for rare event classification
zabarhoumi/LSTM_TEST
understanding LSTM
zabarhoumi/mljar-supervised
Python package for AutoML on Tabular Data with Feature Engineering, Hyper-Parameters Tuning, Explanations and Automatic Documentation
zabarhoumi/MLSTM-FCN
Multivariate LSTM Fully Convolutional Networks for Time Series Classification
zabarhoumi/mousetrap
Process and Analyze Mouse-Tracking Data
zabarhoumi/sktime
A unified framework for machine learning with time series
zabarhoumi/SOFTX_2020_15
MVTS-Data Toolkit: A Python Package for Preprocessing Multivariate Time Series Data. To cite this software publication: https://www.sciencedirect.com/science/article/pii/S2352711020300157
zabarhoumi/stock-prediction
zabarhoumi/time_series_classification_and_ensembles
some examples for time series classification using keras: #1D_CNN #LSTM #Dense #Ensembles
zabarhoumi/time_series_classification_prediction
Different deep learning architectures are implemented for time series classification and prediction purposes.
zabarhoumi/timenet
zabarhoumi/timeseries-clustering-vae
Variational Recurrent Autoencoder for timeseries clustering in pytorch
zabarhoumi/tsai
Time series Timeseries Deep Learning Machine Learning Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
zabarhoumi/tsfresh
Automatic extraction of relevant features from time series:
zabarhoumi/uneye
Deep neural network for eye movement detection
zabarhoumi/visual-stimuli-discovery
zabarhoumi/visual_change_cnn