simple neural network library in ANSI C

Simulation of spiking neural networks (SNNs) using PyTorch.

🚀 Blazing fast neuro-evolution & backpropagation for the browser and Node.js

The NEST simulator

Code for paper "Synthesizing the preferred inputs for neurons in neural networks via deep generator networks"

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

What about coding a Spiking Neural Network using an automatic differentiation framework? In SNNs, there is a time axis and the neural network sees data throughout time, and activation functions are instead spikes that are raised past a certain pre-activation threshold. Pre-activation values constantly fades if neurons aren't excited enough.

Blue Brain Python Optimisation Library

Extraction of 3D skeletons from meshes.

Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.

A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)

A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.

An easy neural network for Java!

A lightweight, interactive, extensible and cross-platform framework for building, visualizing and analyzing digital reconstructions of neuronal morphology skeletons extracted from microscopy stacks.

Neuronal Morphology Analysis Tool

A Python library that encapsulates various methods for neuron interpretation and analysis in Deep NLP models.

Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this project.

Python library for analysis of neuroanatomical data.

Electrophys Feature Extraction Library

Library to make and train a concurrent multilayer perceptron