Tensorflow implementation of conditional variational auto-encoder for MNIST
Tensorflow implementation of conditional Generative Adversarial Networks...
This is a sample project demonstrating the use of Keras (Tensorflow) for...
Deep Learning From Scratch
Generative Probabilistic Novelty Detection with Adversarial Autoencoders
Using Capsule Networks in GANS to generate very realistic fake images th...
Open Set Recognition
PyTorch tutorials A to Z
TI-pooling: transformation-invariant pooling for feature learning in Con...
Implement Decoupled Neural Interfaces using Synthetic Gradients in Pytorch
Tensorflow implementation of different GANs and their comparisions
Machine Learning Toolkit for Extreme Scale (MaTEx)
A PyTorch implementation of "EfficientNet: Rethinking Model Scaling for ...
Adventures using keras on Google's Cloud ML Engine