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Milad's Projects

brain-need-eat-snn icon brain-need-eat-snn

It is a spiking neural network with an simulate simple animal which needs eat to be alive.

capow icon capow

Continuous valued cellular automata.

convoca icon convoca

Predict and analyze cellular automata using convolutional neural networks

devii icon devii

A developer blog starter for 2020 (Next.js + React + TypeScript + Markdown + syntax highlighting)

element-capture icon element-capture

A Chrome extension which will screen capture any HTML element of your choosing.

ethercard icon ethercard

EtherCard is an IPv4 driver for the ENC28J60 chip, compatible with Arduino IDE

fragile icon fragile

Framework for building algorithms based on FractalAI

netomaton icon netomaton

A Python library for working with Network Automata, Cellular Automata, and other discrete dynamical systems

niswgsp icon niswgsp

C++ implementation of the ECCV 2016 paper, Natural Image Stitching with the Global Similarity Prior.

openhtf icon openhtf

The open-source hardware testing framework.

physarum icon physarum

a slime mold simulation in JS and WebGL

siren icon siren

Official implementation of "Implicit Neural Representations with Periodic Activation Functions"

slimevolleygym icon slimevolleygym

A simple OpenAI Gym environment for single and multi-agent reinforcement learning

spiking-neural-network-snn-with-pytorch-where-backpropagation-engenders-stdp icon spiking-neural-network-snn-with-pytorch-where-backpropagation-engenders-stdp

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.

swissgl icon swissgl

SwissGL is a minimalistic wrapper on top of WebGL2 JS API. It's designed to reduce the amount of boilerplate code required to manage GLSL shaders, textures and framebuffers when making procedural visualizations or simulations.

visualml icon visualml

understanding differentiable programming throught visual examples

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