• A Multilingual Latent Dirichlet Allocation (LDA) Pipeline with Stop Words Removal, n-gram features, and Inverse Stemming, in Python.

    Python 1 4 MIT Updated Sep 4, 2018
  • A recurrent attention module consisting of an LSTM cell which can query its own past cell states by the means of windowed multi-head attention. The formulas are derived from the BN-LSTM and the Transformer Network. The LARNN cell with attention can be easily used inside a loop on the cell state, just like any other RNN.

    Jupyter Notebook 7 MIT Updated May 17, 2018
  • Rough list of my favorite deep learning resources, useful for revisiting topics or for reference. I have got through all of the content listed there, carefully. - Guillaume Chevalier

    199 CC0-1.0 Updated May 16, 2018
  • A lightweight library to do for-loop-styled convolution passes on your iterable objects (e.g.: on a list).

    Python 1 MIT Updated Apr 30, 2018
  • This is code I wrote within less than an hour so as to very roughly draft how I would code a Dynamic RNN Attention Decoder Tree with PyTorch.

    Python 10 MIT Updated Apr 26, 2018
  • Jupyter Notebook 5 MIT Updated Mar 29, 2018
  • Taking a pretrained GloVe model, and using it as a TensorFlow embedding weight layer INSIDE THE GPU. Therefore, you only need to send the INDEX of the words through the GPU data transfer bus, reducing data transfer overhead.

    Jupyter Notebook 5 MIT Updated Mar 10, 2018
  • Signal prediction with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier

    Jupyter Notebook 166 MIT Updated Mar 6, 2018
  • Custom convolutional neural network on cifar-100 dataset for image classification. Images and their labels are processed to HDF5 data format for use in Caffe.

    Jupyter Notebook 9 Updated Jun 3, 2017
  • Human activity recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six categories (WALKING, WALKING_UPSTAIRS, WALKING_DOWNSTAIRS, SITTING, STANDING, LAYING) - Guillaume Chevalier

    Jupyter Notebook 466 MIT Updated May 24, 2017
  • Simple demo of filtering signal with an LP filter and plotting its STFT and Laplace transform, in Python.

    Jupyter Notebook 3 MIT Updated Jan 29, 2017
  • Predict whether income exceeds $50K/yr based on census data of the "Adult Dataset". Also known as "Census Income" dataset.

    Jupyter Notebook 6 Updated Dec 26, 2015
  • Digit Recognition with scikit-learn's Bernoulli RBM and Logistic Classifier

    Python 4 Updated Apr 29, 2015
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