vikram-chandrasekaran Goto Github PK

256415_daily_python

256415_daily_python_practice

Daily Python Practice

256415_miniproject

Python Mini-Project

competitive-programming

darknet

Convolutional Neural Networks

eeg-dl

A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.

eeg-emotion-classification-list

A collection of emotion classification using electroencephalogram (EEG) data

eeg_tospikes

just a small project for converting some EEG data I have in to spike data for use in a Liquid State Machine

federated-transfer-learning-for-eeg

This is the code of the paper "Federated Transfer Learning for EEG Signal Classification" published in IEEE EMBS 2020 (42nd Annual International Conferences of the IEEE Engineering in Medicine and Biology Society in conjunction with the 43rd Annual Conference of the Canadian Medical and Biological Engineering Society July 20-24, 2020 via the EMBS Virtual Academy)

html-best-practices

For writing maintainable and scalable HTML documents

html-css-and-javascript-for-web-developers---coursera

inertial-motion-capture

Motion capture using Inertial Motion Units

java-algorithms-implementation

Algorithms and Data Structures implemented in Java

master-thesis-brain-machine-interface

Decoding of 3D Reach and Grasp Movements from Non-invasive EEG Signals using SpiNNaker Neuromorphic Hardware

ncp-lab

neural-networks-and-deep-learning

Code samples for my book "Neural Networks and Deep Learning"

snn-seizure-prediction

Predict seizures from EEGs using two models of spiking neural networks

spikes

A Spiking Neural Network framework with SNNML parser written in Python

spiketorch

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

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.

tensorflow-resnet

ResNet model in TensorFlow

vg_alexeyab_darknet

A forked AexeyAB Darknet repo with extra convenient functions.