davidflanagan / notMNIST-to-MNIST
A sample of the notMNIST dataset in MNIST format so you can drop new data into your existing MNIST neural nets
☆74Updated 6 years ago
Related projects: ⓘ
- Implementation of the SAN model for imparting gender privacy to face images☆63Updated 3 years ago
- Keras callback example☆56Updated 6 years ago
- ☆63Updated this week
- Generative Adversarial Networks in Keras☆45Updated 3 years ago
- For those who already have some basic idea about deep learning, and preferably are familiar with PyTorch.☆47Updated 6 years ago
- Tensorflow example of a conv GAN on MNIST.☆89Updated 6 years ago
- Code for Attentive Recurrent Comparators☆57Updated 7 years ago
- 🔍 Attentional interfaces in TensorFlow.☆59Updated 5 years ago
- InfoGAN Implementation in PyTorch☆20Updated 6 years ago
- Pytorch Cheatsheet☆90Updated 6 years ago
- Tensorflow implementation of Generative Latent Optimization (GLO) proposed by Facebook AI Research☆96Updated 7 years ago
- Pytorch implementation of "Forward Thinking: Building and Training Neural Networks One Layer at a Time"☆65Updated 7 years ago
- Residual wrapper for Keras☆23Updated 7 years ago
- A Quick and Dirty Progressive Neural Network written in TensorFlow.☆53Updated 6 years ago
- A set of examples around pytorch in Vision, Text, Reinforcement Learning, etc.☆83Updated 5 years ago
- ☆42Updated 7 years ago
- DNI (Decoupled Neural Interfaces using Synthetic Gradients) Implementation with Tensorflow.☆28Updated 6 years ago
- ☆48Updated this week
- Tensorflow implementation of Graph Convolutional Network☆77Updated 3 years ago
- Keras implementation of the conditional GAN.☆57Updated 7 years ago
- Wasserstein DCGAN in Tensorflow/Keras☆93Updated 7 years ago
- Generative Adversarial Network Demo for Fresh Machine Learning #2☆73Updated 6 years ago
- Python library for extracting mini-batches of data from a data source for the purpose of training neural networks☆86Updated 5 years ago
- AdaGAN: greedy iterative procedure to train mixtures of GANs☆76Updated 6 years ago
- Layerwise Relevance Propagation with Deep Taylor Series in TensorFlow☆71Updated 7 years ago
- Quick and dirty example of the application of convolutional autoencoders in Keras/Tensorflow☆52Updated 3 years ago
- Structured Receptive Fields in Convolutional Neural Networks☆47Updated 6 years ago
- Keras implementation of: Fitted Learning: Models with Awareness of their Limits☆13Updated 7 years ago
- repository for the Variational Autoencoder (VAE) blogpost series from Fast Forward Labs☆99Updated 7 years ago
- Forward Thinking NIPS 2017☆106Updated 6 years ago