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machine-learning-collection

A resource for learning about ML, DL, PyTorch and TensorFlow. Feedback always appreciated :)

mit-ocw-9.40-neural-computation-solutions

mnist_classification_with_nengodl

Training a convolutional SNN on the MNIST Dataset with NengoDL!

nengo

A Python library for creating and simulating large-scale brain models

nesc_3505_lessons

Lessons for 3505 - copies of book chapters with commands as markdown, and empty code boxes to type and run commands

neural-network-experiments

neuromatchacademy

Repo containing computational neuroscience notebooks and a project detecting latent states in neural activity using Hidden Markov Models on spiking data, made during the Neuromatch Academy 2020.

neuronaldynamics-exercises

Python exercises accompanying the book "Neuronal Dynamics"

normad

Python2 / Brian2 implementation (attempt) of Normalized Approximate Descent based Supervised Learning Rule.

norse

Deep learning for spiking neural networks

norse-1

Deep learning with spiking neural networks (SNNs) in PyTorch.

pcam

The PatchCamelyon (PCam) deep learning classification benchmark.

project_spike

Studying and applying spiking neural networks in reinforcement learning.

pysnn

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

pytorch-deep-learning

Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.

pytorch-spiking-yolov3

A PyTorch implementation of Spiking-YOLOv3. Two branches are provided, based on two common PyTorch implementation of YOLOv3(ultralytics/yolov3 & eriklindernoren/PyTorch-YOLOv3), with support for Spiking-YOLOv3-Tiny at present.

pytorchtutorial

PyTorch Tutorials from my YouTube channel

qiime2

Official repository for the QIIME 2 framework.

ratecoding

Methods for encoding image data into spike trains using rate coding.

simple-cortex

A simple unsupervised on-line learning architecture

simpleitk

SimpleITK: a layer built on top of the Insight Toolkit (ITK), intended to simplify and facilitate ITK's use in rapid prototyping, education and interpreted languages.

simpleitk-notebooks

Jupyter notebooks for learning how to use SimpleITK

snn-encoder-tools

Data encoders

snn-for-pattern-recognition

A 3-layer SNN code for performing MNIST handwritten digit recognition using a supervised spike based learning rule

snn-image-segmentation

This is project for image segmentation based on Spiking Neural Network

snn-minibatch

Repository for code, data, and other artifacts for "Minibatch Processing in Spiking Neural Networks"

snn-mnist

spiking neural network

snn.tutorial

Demo: Spiking Neural Network (SNN) using Generalised Linear Model (GLM)

snns-rnns

The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.

snntorch

Deep and online learning with spiking neural networks in Python