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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 ChevalierAwesome-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 Chevalierseq2seq-signal-prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume ChevalierHow-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.Linear-Attention-Recurrent-Neural-Network
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. (LARNN)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.GloVe-as-a-TensorFlow-Embedding-Layer
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.filtering-stft-and-laplace-transform
Simple demo of filtering signal with an LPF and plotting its Short-Time Fourier Transform (STFT) and Laplace transform, in Python.ReuBERT
A question-answering chatbot, simply.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/D18-1105Predict-if-salary-is-over-50k-with-Keras
Predict whether income exceeds $50K/yr based on census data of the "Adult Dataset". Also known as "Census Income" dataset.AI-Planning-Solver-Shakeys-World-PDDL
Solving a planning problem (Shakey's World) with the FF and IPP planners, the PDDL language and some Python meta-programming to glue things together.EDA-for-Cybersecurity-Intrusion-Detection-KDD-Cup-99
caffe-cifar-10-and-cifar-100-datasets-preprocessed-to-HDF5
Both deep learning datasets can be imported in python directly with h5py (HDF5 format). The datasets can be directly imported or converted with a python script.python-caffe-custom-cifar-100-conv-net
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.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.CS-Games-2018-Google-Challenge-TensorFlow
SGNN-Transformer-Sentence-Model-SimilarityBXEnt
SGNN-Transformer Sentence Model trained by the paragraph-skip-gram-like SimilarityBXENT. Also see: https://github.com/guillaume-chevalier/SGNN-Self-Governing-Neural-Networks-Projection-Layerguillaume-chevalier
dotfiles
scikit-learn-digit-recognition
Digit Recognition with scikit-learn's Bernoulli RBM and Logistic ClassifierCSGames-2019-AI
Our team's solution for the Artificial Competition of the Computer Science Games 2019 (a programming contest). Deep Reinforcement Learning.Wikipedia-XML-Markup-Code-to-Plain-Text-Parser-of-Hell
Parsing a Wikipedia XML file of all articles to lots of raw txt files, and remove most of wiki markup (not perfect: see issues first). For more info on wiki markup, see: https://en.wikipedia.org/wiki/Wikipedia:Tutorial/Formatting#Wiki_markupXGBoost-Beer-Recommendation
Small scholar project for the CS Games 2019 qualification. An afternoon of coding. Data loading and validation code could be better.Love Open Source and this site? Check out how you can help us