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Deep Learning Resources

PreviousBig DataNextDL Datasets

Last updated 6 years ago

Neural Networks and Deep Learning Model Zoo

A collection of standalone TensorFlow and PyTorch models in Jupyter Notebooks

Python 3.6

Classifiers

Convolutional Classifiers

Metric Learning

Autoencoders

General Adversarial Networks

Tips and Tricks

PyTorch Workflows

TensorFlow Workflows

Visual Neural Network

Perceptron [] []

Logistic Regression [] []

Softmax Regression (Multinomial Logistic Regression) [][]

Multilayer Perceptron [] []

Multilayer Perceptron with Dropout [] []

Multilayer Perceptron with Batch Normalization [] []

Multilayer Perceptron with Backpropagation from Scratch []

Convolutional Neural Network [] []

Convolutional Neural Network with He Initialization []

Convolutional Neural Network VGG-16 [] []

Convolutional ResNet and Residual Blocks []

Siamese Network with Multilayer Perceptrons []

Autoencoder [] []

Convolutional Autoencoder with Deconvolutions [] []

Convolutional Autoencoder with Deconvolutions (without pooling operations) []

Convolutional Autoencoder with Nearest-neighbor Interpolation [] []

Convolutional Autoencoder with Nearest-neighbor Interpolation – Trained on CelebA []

Variational Autoencoder []

General Adversarial Networks []

Convolutional General Adversarial Networks []

Cyclic Learning Rate []

TensorFlow
PyTorch
TensorFlow
PyTorch
TensorFlow
PyTorch
TensorFlow
PyTorch
TensorFlow
PyTorch
TensorFlow
PyTorch
TensorFlow
TensorFlow
PyTorch
PyTorch
TensorFlow
PyTorch
PyTorch
TensorFlow
TensorFlow
PyTorch
TensorFlow
PyTorch
PyTorch
TensorFlow
PyTorch
PyTorch
PyTorch
TensorFlow
TensorFlow
PyTorch
Using PyTorch Dataset Loading Utilities for Custom Datasets – CSV files converted to HDF5
Using PyTorch Dataset Loading Utilities for Custom Datasets – Face Images from CelebA
Getting Gradients of an Intermediate Variable in PyTorch
Saving and Loading Trained Models – from TensorFlow Checkpoint Files and NumPy NPZ Archives
Chunking an Image Dataset for Minibatch Training using NumPy NPZ Archives
Storing an Image Dataset for Minibatch Training using HDF5
Using Input Pipelines to Read Data from TFRecords Files
Using Queue Runners to Feed Images Directly from Disk
Using TensorFlow’s Dataset API
http://scs.ryerson.ca/~aharley/vis/conv/flat.htmlscs.ryerson.ca
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