simple neural network library in ANSI C
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Updated
Jun 26, 2024 - C
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.
Extraction of 3D skeletons from meshes.
Blue Brain Python Optimisation Library
A micro neural network multilayer perceptron for MicroPython (used on ESP32 and Pycom modules)
Creating a simple neural network in Python with one input layer (3 inputs) and one output neuron.
A python package for modelling locomotion in complex environments and spatially/velocity selective cell activity.
A lightweight, interactive, extensible and cross-platform framework for building, visualizing and analyzing digital reconstructions of neuronal morphology skeletons extracted from microscopy stacks.
An easy neural network for Java!
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
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