Education
133 items from guillaume-chevalier/awesome-deep-learning-resources ★1,821
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tensorflow github.com
Computation using data flow graphs for scalable machine learning by Google.
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LSTM for Human Activity Recognition github.com
Recurrent Neural Network classification in TensorFlow with LSTM on cellphone sensor data
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Neuraxle github.com
Sklearn-like framework for hyperparameter tuning and AutoML in deep learning projects.
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Time series forecasting with Sequence-to-Sequence (seq2seq) rnn models github.com
Learn to use a seq2seq model on simple datasets as an introduction to the vast array of possibilities that this architecture offers
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Simplified Scikit-learn Style Interface to TensorFlow github.com
TensorFlow wrapper à la scikit-learn.
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Neural Turing Machine in TensorFlow github.com
implementation of Neural Turing Machine
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Deep stacked residual bidirectional LSTMs for HAR github.com
Improvements on the previous project.
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Hyperopt for a Keras CNN on CIFAR-100 github.com
Auto (meta) optimizing a neural net (and its architecture) on the CIFAR-100 dataset.
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Filtering signal, plotting the STFT and the Laplace transform github.com
Simple Python demo on signal processing.
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Self Governing Neural Networks (SGNN): the Projection Layer github.com
With this, you can use words in your deep learning models without training nor loading embeddings.
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Clean Machine Learning, a Coding Kata github.com
Learn the good design patterns to use for doing Machine Learning the good way, by practicing.
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Smoothly Blend Image Patches github.com
Smooth patch merger for semantic segmentation with a U-Net.
