JJTasi

PySnooper

Never use print for debugging again

GraphSAGE

Representation learning on large graphs using stochastic graph convolutions.

PlotNeuralNet

Latex code for making neural networks diagrams

cmake_example

Example pybind11 module built with a CMake-based build system

netron

Visualizer for neural network, deep learning and machine learning models

MCTS

Python Implementations of Monte Carlo Tree Search

monte-carlo-tree-search

Monte Carlo Tree Search with UCT with a couple of example games.

deep_architect_legacy

DeepArchitect: Automatically Designing and Training Deep Architectures

progressive_growing_of_gans_tensorflow

Tensorflow implementation of PROGRESSIVE GROWING OF GANS FOR IMPROVED QUALITY, STABILITY, AND VARIATION

tensorflow-generative-model-collections

Collection of generative models in Tensorflow

stargan

StarGAN - Official PyTorch Implementation (CVPR 2018)

text-to-image

Text to image synthesis using thought vectors

WassersteinGAN.tensorflow

Tensorflow implementation of Wasserstein GAN - arxiv: https://arxiv.org/abs/1701.07875

models

Models and examples built with TensorFlow

CoGAN-tensorflow

Implement Coupled Generative Adversarial Networks in Tensorflow

CoGAN

caffe

Caffe: a fast open framework for deep learning.

tf-dann

Domain-Adversarial Neural Network in Tensorflow

DAN

Code release of "Learning Transferable Features with Deep Adaptation Networks" (ICML 2015)

GAN

Generate images via a Generative Adversarial Network (GAN)

KerasGAN

A couple of simple GANs in Keras