Vikram Chandrasekaran's repositories
256415_MiniProject
Python Mini-Project
256415_Daily_Python_Practice
Daily Python Practice
EEG-DL
A Deep Learning library for EEG Tasks (Signals) Classification, based on TensorFlow.
Spikes
A Spiking Neural Network framework with SNNML parser written in Python
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)
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.
darknet
Convolutional Neural Networks
VG_AlexeyAB_darknet
A forked AexeyAB Darknet repo with extra convenient functions.
snn-seizure-prediction
Predict seizures from EEGs using two models of spiking neural networks
neural-networks-and-deep-learning
Code samples for my book "Neural Networks and Deep Learning"
EEG-Emotion-Classification-List
A collection of emotion classification using electroencephalogram (EEG) data
java-algorithms-implementation
Algorithms and Data Structures implemented in Java
html-best-practices
For writing maintainable and scalable HTML documents
tensorflow-resnet
ResNet model in TensorFlow
spiketorch
Experiments with spiking neural networks (SNNs) in PyTorch. See https://github.com/BINDS-LAB-UMASS/bindsnet for the successor to this project.
Master-Thesis-Brain-Machine-Interface
Decoding of 3D Reach and Grasp Movements from Non-invasive EEG Signals using SpiNNaker Neuromorphic Hardware
Inertial-Motion-Capture
Motion capture using Inertial Motion Units
EEG_ToSpikes
just a small project for converting some EEG data I have in to spike data for use in a Liquid State Machine