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hands-on-generative-adversarial-networks-with-keras

Hands-On Generative Adversarial Networks with Keras, published by Packt

housegan

House-GAN: Relational Generative Adversarial Networks for Graph-constrained House Layout Generation

imdb-dashboard

iti_e2e

This is a test project to try the cookiecutter tool in creating the Project Structure.

java_eda_code

java_wuzzuf_eda_project

javascript-templates

1KB lightweight, fast & powerful JavaScript templating engine with zero dependencies. Compatible with server-side environments like node.js, module loaders like RequireJS and all web browsers.

layoutgan

A reproducing for article LayoutGAN: Generating Graphic Layouts with Wireframe Discriminators.

machine-learning-experiments

🤖 Interactive Machine Learning experiments: 🏋️models training + 🎨models demo

mars

For learning pupose

maskrcnn-benchmark

Fast, modular reference implementation of Instance Segmentation and Object Detection algorithms in PyTorch.

movieshunterai

mtaf

Multi-Target Adversarial Frameworks for Domain Adaptation in Semantic Segmentation

mytestproject

this is a test project

naive-bayes-text-classification

Classifying emails as spam or ham (not spam) using the Multinomial Naive Bayes algorithm in Python 2.7.

nnabla-examples

Neural Network Libraries https://nnabla.org/ - Examples

numerical-methods-csharp

Numerical methods in C#

opencv-python-reference

An (almost) fully comprehensive reference for OpenCV! 📷🤖

pix2pix

Image-to-image translation with conditional adversarial nets

pix2pix-tensorflow

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

pixel2style2pixel

Official Implementation for "Encoding in Style: a StyleGAN Encoder for Image-to-Image Translation" (CVPR 2021) presenting the pixel2style2pixel (pSp) framework

planit

Public code release for our SIGGRAPH 2019 paper "PlanIT: Planning and Instantiating Indoor Scenes with Relation Graph and Spatial Prior Networks"

pml-book

"Probabilistic Machine Learning" - a book series by Kevin Murphy

practicalpythonandopencv_casestudies

Edited code examples from the book 'Practical Python and OpenCV - Case Studies (3rd Edition)' by Adrian Rosebrock

predefine-pro

python_for_microscopists

https://www.youtube.com/channel/UC34rW-HtPJulxr5wp2Xa04w?sub_confirmation=1

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

ram_project_ds_prod

ros-study

rplan-toolbox

A python based toolbox for RPLAN dataset