Guillaume Chevalier's repositories
LSTM-Human-Activity-Recognition
Human Activity Recognition example using TensorFlow on smartphone sensors dataset and an LSTM RNN. Classifying the type of movement amongst six activity categories - Guillaume Chevalier
Awesome-Deep-Learning-Resources
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
seq2seq-signal-prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-Notebooks
Growing the code out of your notebooks - the right way.
HAR-stacked-residual-bidir-LSTMs
Using deep stacked residual bidirectional LSTM cells (RNN) with TensorFlow, we do Human Activity Recognition (HAR). Classifying the type of movement amongst 6 categories or 18 categories on 2 different datasets.
Spiking-Neural-Network-SNN-with-PyTorch-where-Backpropagation-engenders-STDP
What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.
PyTorch-Dynamic-RNN-Attention-Decoder-Tree
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.
LinkedIn-Connections-Growth-Analysis
Assessing personal growth on LinkedIn with charts. Plot LinkedIn connections over time. Discover what your connections most do and where they most work.
SGNN-Self-Governing-Neural-Networks-Projection-Layer
Attempt at reproducing a SGNN's projection layer, but with word n-grams instead of skip-grams. Paper and more: http://aclweb.org/anthology/D18-1105
awesome-python
A curated list of awesome Python frameworks, libraries, software and resources
python-conv-lib
A lightweight library to do for-loop-styled convolution passes on your iterable objects (e.g.: on a list). Note: this is not a convolution, it is about exposing what would the kernel pass on in the first place in your loops.
awesome-deep-learning
A curated list of awesome Deep Learning tutorials, projects and communities.
awesome-jupyter
A curated list of awesome Jupyter projects, libraries and resources
awesome-analytics
A curated list of analytics frameworks, software and other tools.
scikit-learn
scikit-learn: machine learning in Python
seq2seq-attention
Attention mechanism for time series using tensorflow 2
ansible-examples
A few starter examples of ansible playbooks, to show features and how they work together. See http://galaxy.ansible.com for example roles from the Ansible community for deploying many popular applications.
awesome-seml
A curated list of articles that cover the software engineering best practices for building machine learning applications.
sphinx-gallery
Sphinx extension for automatic generation of an example gallery
datascience-wiki
Wiki for /r/datascience
staged-recipes
A place to submit conda recipes before they become fully fledged conda-forge feedstocks