mounalab

Data scientist | Machine learning, Deep Learning and Time Series

Paris, France

Pinned Repositories

LSTM-RNN-VAD
Voice Activity Detection LSTM-RNN learning model
Language:Python50 5 222
mounalab.github.io
a medium inspired jekyll theme
Language:HTML0 0 00
Multivariate-time-series-forecasting-keras
This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Transformers, Recurrent neural networks (LSTM and GRU), Convolutional neural networks, Multi-layer perceptron
Language:Python66 1 120
SiameseNetwork-keras
Siamese neural network implementation with Keras/Tensorflow
Language:Python5 1 01
Temporal-fusion-transformer_Pytorch-Forecasting
Using Temporal Fusion Transformer for Book sales forecasting use case. We use the model implementation available in Pytorch Forecasting library.
Language:Jupyter Notebook15 2 04

mounalab/Multivariate-time-series-forecasting-keras
This project provides implementations with Keras/Tensorflow of some deep learning algorithms for Multivariate Time Series Forecasting: Transformers, Recurrent neural networks (LSTM and GRU), Convolutional neural networks, Multi-layer perceptron
Language:Python66 1 120
mounalab/LSTM-RNN-VAD
Voice Activity Detection LSTM-RNN learning model
Language:Python50 5 222
mounalab/Temporal-fusion-transformer_Pytorch-Forecasting
Using Temporal Fusion Transformer for Book sales forecasting use case. We use the model implementation available in Pytorch Forecasting library.
Language:Jupyter Notebook15 2 04
mounalab/SiameseNetwork-keras
Siamese neural network implementation with Keras/Tensorflow
Language:Python5 1 01
mounalab/mounalab.github.io
a medium inspired jekyll theme
Language:HTML0 0 00