vae_tutorial

gan-vae-pretrained-pytorch

Pretrained GANs + VAEs + classifiers for MNIST/CIFAR in pytorch.

MI-EEG-1D-CNN

A new approach based on a 10-layer one-dimensional convolution neural network (1D-CNN) to classif...

Deep-Feature-Flow

Deep Feature Flow for Video Recognition

gans-2.0

Generative Adversarial Networks in TensorFlow 2.0

Deformable-ConvNets

Deformable Convolutional Networks

core50

CORe50: a new Dataset and Benchmark for Continual Learning

deepcontext

Author's implementation of 'Unsupervised Visual Representation Learning by Context Prediction'

pytorch-mnist-vae

Pytorch Implementation of variational auto-encoder for MNIST

CVAE

Tensorflow Code for Conditional Variational AutoEncoder

py-R-FCN

R-FCN with joint training and python support

SciPy2015

Talk for SciPy2015 "Deep Learning: Tips From The Road"

Fine-Grained-Continual-Learning

Implementation of AR1* and CWR* Continual Learning techniques for the NICv2 scenario

VAE-tensorflow

Code for Variational AutoEncoder(VAE) using tensorflow

SPADE

Semantic Image Synthesis with SPADE

CornerNet-Lite