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392 search results found

Kalliope ⭐ 1,652

Kalliope is a framework that will help you to create your own personal assistant.

Bindsnet ⭐ 1,422

Simulation of spiking neural networks (SNNs) using PyTorch.

Genann ⭐ 1,398

simple neural network library in ANSI C

Snakeai ⭐ 1,242

Train a Neural Network to play Snake using a Genetic Algorithm

Neural network OCR.

Neataptic ⭐ 978

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

Digit Classifier ⭐ 780

A single handwritten digit classifier, using the MNIST dataset. Pure Numpy.

Deep Learning Illustrated ⭐ 543

Deep Learning Illustrated (2020)

Ordered Neurons ⭐ 503

Code for the paper "Ordered Neurons: Integrating Tree Structures into Recurrent Neural Networks"

Nest Simulator ⭐ 500

The NEST simulator

Synthesizing ⭐ 470

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

Self-improving decision organism

Spiking Neural Network ⭐ 434

Pure python implementation of SNN

Lambdanet ⭐ 376

Purely functional artificial neural network library implemented in Haskell.

NEURON Simulator

Awesome Neuro Ai Papers ⭐ 345

Papers from the intersection of deep learning and neuroscience

Fann.js ⭐ 330

FANN compiled through Emscripten

Public_plstm ⭐ 297

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

Neural Network ⭐ 270

This is a configurable Neural Network written in C#. The Network functionality is completely decoupled from the UI and can be ported to any project. You can also export and import fully trained networks and datasets.

Htmpapers ⭐ 261

Numenta published papers code and data

A Python package for simulator-independent specification of neuronal network models.

Building a simple neural network in Go

Brain Modeling Toolkit

Mlp Classifier ⭐ 194

A handwritten multilayer perceptron classifer using numpy.

Spiking Neural Network Snn With Pytorch Where Backpropagation Engenders Stdp ⭐ 192

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.

Bluepyopt ⭐ 190

Blue Brain Python Optimisation Library

Sparse Evolutionary Artificial Neural Networks ⭐ 187

Always sparse. Never dense. But never say never. A Sparse Training repository for the Adaptive Sparse Connectivity concept and its algorithmic instantiation, i.e. Sparse Evolutionary Training, to boost Deep Learning scalability on various aspects (e.g. memory and computational time efficiency, representation and generalization power).

Neurons ⭐ 183

Neurotic Neurons, an interactive explanation.

Mobile Id ⭐ 180

Deep Face Model Compression

Top 10 Computer Vision Papers 2020 ⭐ 177

A list of the top 10 computer vision papers in 2020 with video demos, articles, code and paper reference.

Go Perceptron Go ⭐ 156

A single / multi layer / recurrent neural network written in Golang.

Rastermap ⭐ 140

a visualization method for neural data

Ratinabox ⭐ 135

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

Celegansneuroml ⭐ 130

NeuroML based C elegans model, contained in a neuroConstruct project, as well as c302

Self organizing Kohonen map in Python with periodic boundary conditions

Kitnet Py ⭐ 124

KitNET is a lightweight online anomaly detection algorithm, which uses an ensemble of autoencoders.

Coreneuron ⭐ 122

Simulator optimized for large scale neural network simulations.

Machinelearning ⭐ 122

An easy neural network for Java!

Efficient Spiking Neural Network framework, built on top of PyTorch for GPU acceleration

Dynamic_neural_manifold ⭐ 117

Fastdeepnets ⭐ 116

Neuromorphovis ⭐ 115

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

Pytorch Histogram Loss ⭐ 113

PyTorch implementation for Histogram Loss

Tf Genetic ⭐ 110

Evolutionary Neural Networks backed by TensorFlow and pure Python

Skeletor ⭐ 109

3D skeleton extraction from meshes.

🕝 Time-warped principal components analysis (twPCA)

Neuronal Morphology Analysis Tool

Mapping out the coarse-grained connectivity structures of complex manifolds.

Neuron.vim ⭐ 86

📝 Manage your Zettelkasten in {n}vim.

pyABF is a Python package for reading electrophysiology data from Axon Binary Format (ABF) files

Clojure Neural Network Library

Simple Neural Network ⭐ 84

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

Micromlp ⭐ 81

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

Simpleneuralnetwork ⭐ 79

Simple neural network implementation in Java

Python library for analysis of neuroanatomical data.

Ab_distillation ⭐ 78

Knowledge Transfer via Distillation of Activation Boundaries Formed by Hidden Neurons (AAAI 2019)

GoPiGo Connectome Code

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

Neuron Template ⭐ 72

A template to get started with neuron

Neuron_as_deep_net ⭐ 69

Code behind the work "Single Cortical Neurons as Deep Artificial Neural Networks", published in Neuron 2021

Spiketorch ⭐ 69

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

AIKA is a new type of artificial neural network designed to more closely mimic the behavior of a biological brain and to bridge the gap to classical AI. A key design decision in the Aika network is to conceptually separate the activations from their neurons, meaning that there are two separate graphs. One graph consisting of neurons and synapses representing the knowledge the network has already acquired and another graph consisting of activations and links describing the information the network

Brainsimii ⭐ 63

Neural Simulator for AGI research and development

Spiking Neuron Models ⭐ 62

computational neuroscience reading

Bioexplorer ⭐ 61

The Blue Brain BioExplorer (BBBE) is a tool for data visualization experts and scientists to extract and analyze scientific data from visualization and interactive exploration

Electrophys Feature Extraction Library

Python-module for calculation of extracellular potentials from multicompartment neuron models and networks

NeuroAnatomy Toolbox: An R package for the (3D) visualisation and analysis of biological image data, especially tracings of single neurons.

Dropneuron ⭐ 58

DropNeuron: Simplifying the Structure of Deep Neural Networks

Indrnn_theano_lasagne ⭐ 57

This code is to implement the IndRNN.

Tensor Demo ⭐ 56

A quickstart guide to tensor decomposition

YASS: Yet Another Spike Sorter

Neurolib ⭐ 53

Neuron emulation tools

Wholebrain ⭐ 53

R package for segmentation, registration and generating web-based brain atlases from microscope images

Rivuletpy ⭐ 50

Robust 3D Neuron Tracing / General 3D tree structure extraction in Python for 3D images powered by the Rivulet2 algorithm. Pain-free Install & use in 5 mins.

Js Neuralnetwork ⭐ 50

Neural networks in JavaScript. Well-documented and object-oriented.

Bmusegan ⭐ 50

Code for “Convolutional Generative Adversarial Networks with Binary Neurons for Polyphonic Music Generation”

Replicating Face Mask Detector ⭐ 49

Binary Stochastic Neurons ⭐ 48

Binary Stochastic Neurons in PyTorch

Text-based emotion analysis

Python Extreme Learning Machine (ELM) is a machine learning technique used for classification/regression tasks.

Multilayer Perceptron ⭐ 46

Library to make and train a concurrent multilayer perceptron

Probabilistic question-asking system: the program asks, the users answer. The minimal goal of the program is to identify what the user needs (a target), even if the user is not aware of the existence of such a thing/product/service.

Backpropneuralnet.jl ⭐ 45

A neural network in Julia

Dlpipeline ⭐ 45

Practical Deep Learning for Genomic Prediction: A Keras based guide to implement deep learning

Neuroconstruct ⭐ 44

neuroConstruct: biophysically detailed neuronal modelling in 3D

Metatemplateneuralnet ⭐ 44

An entire meta-programming template based neural network API in C++ (MTNN)

A MATLAB neuron simulator. Very fast (written in C++). Flexible (fully object oriented). Immediate (live manipulation in MATLAB). Comes with a powerful parameter optimizer. Get started ➡️

Tensorflow Seq2seq Dialogs ⭐ 43

Build conversation Seq2Seq models with TensorFlow

Braindump ⭐ 43

braindump: low-tech dump of my neurons

Awesome Computational Neuro Science ⭐ 42

A curated list of awesome cns frameworks, libraries, and software + First class pure python Tutorial Series for Spiking Neural Networks 🔥

Visualize Neural Network ⭐ 42

Visualize neural network with or without weights

Musical Pattern Recognition In Spiking Neural Networks ⭐ 41

Differentiate notes using a spiking neural network

Ntnu Som ⭐ 41

Using Self-Organizing Maps for Travelling Salesman Problem

Neurofinder ⭐ 40

benchmarking challenge for finding neurons in imaging data

Stringer Pachitariu Et Al 2018b ⭐ 40

Responses of 10,000 neurons to 2,800 natural images

Brainmodels ⭐ 38

Brain models implementation with BrainPy

Spiking Net Tensorflow ⭐ 38

A spiking net simulator implemented in Tensorflow 2.0 with plastic synaptic delays and weights.

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