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A scikit-learn compatible neural network library that wraps PyTorch
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Tutorials on implementing a few sequence-to-sequence (seq2seq) models with PyTorch and TorchText.
Time series Timeseries Deep Learning Machine Learning Python Pytorch fastai | State-of-the-art Deep Learning library for Time Series and Sequences in Pytorch / fastai
Microsoft Quantum Development Kit Samples
Koç University deep learning framework.
This repository holds all the code for the site http://www.adventuresinmachinelearning.com
Lectures on QuTiP: slides and ipython notebooks
A short course on Julia and open-source software development
Place recognition with WiFi fingerprints using Autoencoders and Neural Networks
Running parametric t-SNE by Laurens Van Der Maaten with Octave and oct2py.
Codes accompanying the paper "Quantum algorithm implementations for beginners"
Exploring how to to deal with uncertain inputs with gaussian process regression models.
Repository containing the article code "Neural Network for variable input length using Tensorflow TimeDistributed wrapper".