Classification with PyTorch.

Chainer implementation of adversarial autoencoder (AAE)

Learned Perceptual Image Patch Similarity (LPIPS) metric and Berkeley-Adobe Perceptual Patch Similarity (BAPPS) dataset

Conditional Autoencoders with Adversarial Information Factorization

An enterprise-grade open source platform for building, training, and monitoring large scale deep learning applications.

A Port of Fréchet Inception Distance (FID score) to PyTorch

Deep Learning API and Server in C++11 with Python bindings and support for Caffe, Tensorflow, XGBoost and TSNE

Implementation of deformable convolution as an operation in tensorflow

Tensorflow port of Image-to-Image Translation with Conditional Adversarial Nets https://phillipi.github.io/pix2pix/

95.16% on CIFAR10 with PyTorch

Caffe models (includimg classification, detection and segmentation) and deploy files for famouse networks

Best transfer learning and domain adaptation resources (papers, tutorials, datasets, etc.)

Collection of generative models in Tensorflow

Synthesizing and manipulating 2048x1024 images with conditional GANs

Awesome GAN for Medical Imaging

Training a MNIST classifier, and use it to compute inception score (ICP)

awesome-semantic-segmentation

PyTorch for Semantic Segmentation

Tensorflow implementation of "BEGAN: Boundary Equilibrium Generative Adversarial Networks"

AdaGAN: greedy iterative procedure to train mixtures of GANs

Some implementation of semantic segmantation for DL model

Implementation of "Semantically Decomposing the Latent Spaces of Generative Adversarial Networks"

Invertible conditional GANs for image editing

Inception Score Module for Chainer

Unsupervised Image to Image Translation with Generative Adversarial Networks

https://arxiv.org/abs/1606.00704

Code for reproducing experiments in "Improved Training of Wasserstein GANs"

Use PyTorch to implement some classic frameworks

Fully Convolutional Instance-aware Semantic Segmentation