Pinned Repositories
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
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.
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.
How-to-Grow-Neat-Software-Architecture-out-of-Jupyter-Notebooks
Growing the code out of your notebooks - the right way.
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.
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)
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
seq2seq-signal-prediction
Signal forecasting with a Sequence-to-Sequence (seq2seq) Recurrent Neural Network (RNN) model in TensorFlow - Guillaume Chevalier
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.
Neuraxle
The world's cleanest AutoML library ✨ - Do hyperparameter tuning with the right pipeline abstractions to write clean deep learning production pipelines. Let your pipeline steps have hyperparameter spaces. Design steps in your pipeline like components. Compatible with Scikit-Learn, TensorFlow, and most other libraries, frameworks and MLOps environments.
guillaume-chevalier's Repositories
guillaume-chevalier/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.
guillaume-chevalier/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.
guillaume-chevalier/CS-Games-2018-Google-Challenge-TensorFlow
guillaume-chevalier/awesome-artificial-intelligence
A curated list of Artificial Intelligence (AI) courses, books, video lectures and papers
guillaume-chevalier/DataSciencePython
common data analysis and machine learning tasks using python
guillaume-chevalier/Autoencoder-TensorBoard-t-SNE
Plugging TensorBoard in an autoencoder on the MNIST dataset for demonstrating t-SNE embeddings visualization of unsupervised machine learning.
guillaume-chevalier/awesome-competitive-programming
:gem: A curated list of awesome Competitive Programming, Algorithm and Data Structure resources
guillaume-chevalier/annotated-transformer
http://nlp.seas.harvard.edu/2018/04/03/attention.html
guillaume-chevalier/apd-core
Awesome Public Datasets Core
guillaume-chevalier/awesome
:sunglasses: Curated list of awesome lists
guillaume-chevalier/awesome-actionscript3
A curated list of awesome libraries and components for ActionScript 3 and Adobe AIR.
guillaume-chevalier/awesome-awesomeness
A curated list of awesome awesomeness
guillaume-chevalier/awesome-deep-vision
A curated list of deep learning resources for computer vision
guillaume-chevalier/awesome-dl4nlp
A curated list of awesome Deep Learning for Natural Language Processing resources
guillaume-chevalier/awesome-git
A curated list of amazingly awesome Git tools, resources and shiny things
guillaume-chevalier/awesome-semantic-segmentation
awesome-semantic-segmentation
guillaume-chevalier/awesome-sentiment-analysis
😀😄😂😭 A curated list of Sentiment Analysis methods, implementations and misc. 😥😟😱😤
guillaume-chevalier/chakin
Simple downloader for pre-trained word vectors
guillaume-chevalier/cs-game-rust
guillaume-chevalier/CSGAMES_AI
CS Games 2018 AI competition.
guillaume-chevalier/Decision-Trees-For-Knowledge-Discovery
Understand and modelize the structure behind your data with Decision Trees
guillaume-chevalier/GLO-7006-Paper-NLP
guillaume-chevalier/learning-to-learn
Learning to Learn in TensorFlow
guillaume-chevalier/lists
The definitive list of lists (of lists) curated on GitHub
guillaume-chevalier/microprocessor-trend-data
Data repository for my blog series on microprocessor trend data.
guillaume-chevalier/presentations
L'ensemble des ateliers présentés sous le CFI-UL
guillaume-chevalier/sensenet
guillaume-chevalier/Smoothly-Blend-Image-Patches
Using a U-Net for image segmentation, blending predicted patches smoothly is a must to please the human eye.
guillaume-chevalier/sonnet
TensorFlow-based neural network library
guillaume-chevalier/TopDeepLearning
A list of popular github projects related to deep learning