Autoencoders

More TensorFlow tutorialsJupyter Notebook

A collection of TensorFlow tutorials covering basics to advanced neural network architectures with Python code and notebooks.

DeepLearnToolboxMATLAB

A MATLAB/Octave toolbox for deep learning with implementations of neural networks, deep belief nets, autoencoders, and convolutional networks.

DeepnetPython

GPU-accelerated Python implementation of six fundamental deep learning algorithms using CUDA libraries.

sequiturPython

A PyTorch library for creating and training autoencoders on sequential data (time series, videos, etc.) in just two lines of code.

AtomAIPython

A PyTorch-based Python package for deep and machine learning analysis of microscopy data, designed for domain scientists.

Introduction to Deep Learning Using Python (GitHub)Python

A hands-on workshop introducing deep learning concepts with practical examples using neural networks, CNNs, RNNs, and autoencoders.