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gain

Web crawling framework based on asyncio.

gan-papers

ganhacks

starter from "How to Train a GAN?" at NIPS2016

ganimation

GANimation: Anatomically-aware Facial Animation from a Single Image (ECCV'18 Oral)

generative-models

Collection of generative models, e.g. GAN, VAE in Pytorch and Tensorflow.

grumpy

Grumpy is a Python to Go source code transcompiler and runtime.

hatch

A modern project, package, and virtual env manager for Python

heartseg

code of DenseVoxNet and 3D-DSN

home-assistant

:house_with_garden: Open-source home automation platform running on Python 3

icgan

Invertible conditional GANs for image editing

igan

Interactive Image Generation via Generative Adversarial Networks

illustrationgan

A simple, clean TensorFlow implementation of Generative Adversarial Networks with a focus on modeling illustrations.

improved-gan

code for the paper "Improved Techniques for Training GANs"

improved_wgan_training

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

instapy

📷 Instagram Bot - Like/Comment/Follow Automation Script

jekyll

:globe_with_meridians: Jekyll is a blog-aware, static site generator in Ruby

jekyll_demo

livepython

Visually trace Python code in real-time.

liver-shape-deformation-through-gan

machinelearning

Machine learning algorithms implemented by pure numpy

maya

Datetimes for Humans™

mechanicalsoup

A Python library for automating interaction with websites.

micropython

MicroPython - a lean and efficient Python implementation for microcontrollers and constrained systems

mimesis

Mimesis is a fast and easy to use library for Python, which helps generate synthetic data for a variety of purposes in a variety of languages.

mmdnn

MMdnn is a set of tools to help users inter-operate among different deep learning frameworks. E.g. model conversion and visualization. Convert models between Caffe, Keras, MXNet, Tensorflow, CNTK and PyTorch.

mnist

Some samples of the MNIST classifier.

models

Models and examples built with TensorFlow

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

neuralnetworks.thought-experiments

Observations and notes to understand the workings of neural network models and other thought experiments using Tensorflow

open-paperless

Scan, index, and archive all of your paper documents