NEAT-Python

? GPU accelerated Neural networks in JavaScript for Browsers and Node.js

A curated list of awesome neuroscience libraries, software and any content related to the domain.

Using artificial intelligence and genetic algorithms to automatically write programs. Tutorial: http://www.primaryobjects.com/cms/article149

Visualizer for large-scale and interactive ray-tracing of neurons

Alzheimer's Disease Prediction by using ResNet, AlexNet

Local and Anki-compatible note-taking tool based on TiddlyWiki

3D super-resolution using Generative Adversarial Networks

The GOLang implementation of NeuroEvolution of Augmented Topologies (NEAT) method to evolve and train Artificial Neural Networks without error back propagation

A public python implementation of the DeepHyperNEAT system for evolving neural networks. Developed by Felix Sosa and Kenneth Stanley. See paper here: https://eplex.cs.ucf.edu/papers/sosa_ugrad_report18.pdf

R library for structural neuroimaging. Provides high-level functions to access (read and write) and visualize surface-based brain morphometry data for individuals and groups.