609 Repositories
Python generative-art Libraries
State of the Art Neural Networks for Deep Learning
pyradox This python library helps you with implementing various state of the art neural networks in a totally customizable fashion using Tensorflow 2
A curses based mpd client with basic functionality and album art.
Miniplayer A curses based mpd client with basic functionality and album art. After installation, the player can be opened from the terminal with minip
Neural style transfer in PyTorch.
style-transfer-pytorch An implementation of neural style transfer (A Neural Algorithm of Artistic Style) in PyTorch, supporting CPUs and Nvidia GPUs.
An implementation of figlet written in Python
All of the documentation and the majority of the work done was by Christopher Jones ([email protected]). Packaged by Peter Waller [email protected],
Reinforcement Learning Coach by Intel AI Lab enables easy experimentation with state of the art Reinforcement Learning algorithms
Coach Coach is a python reinforcement learning framework containing implementation of many state-of-the-art algorithms. It exposes a set of easy-to-us
Magenta: Music and Art Generation with Machine Intelligence
Magenta is a research project exploring the role of machine learning in the process of creating art and music. Primarily this involves developing new
Named-entity recognition using neural networks. Easy-to-use and state-of-the-art results.
NeuroNER NeuroNER is a program that performs named-entity recognition (NER). Website: neuroner.com. This page gives step-by-step instructions to insta
Computer art based on quadtrees.
Quads Computer art based on quadtrees. The program targets an input image. The input image is split into four quadrants. Each quadrant is assigned an
:art: Diagram as Code for prototyping cloud system architectures
Diagrams Diagram as Code. Diagrams lets you draw the cloud system architecture in Python code. It was born for prototyping a new system architecture d