nikhil-garg Goto Github PK

rram_multilevel_driver

Architecture for RRAM multilevel programming

s2net

Supervised Spiking Network

scikit-opt

Genetic Algorithm, Particle Swarm Optimization, Simulated Annealing, Ant Colony Optimization Algorithm,Immune Algorithm, Artificial Fish Swarm Algorithm, Differential Evolution and TSP(Traveling salesman)

scikit-plot

An intuitive library to add plotting functionality to scikit-learn objects.

seed2.0

sensor-fusion-demo

This repository contains several different sensor-fusion implementation that can be compared with each other.

sherpa

Hyperparameter optimization that enables researchers to experiment, visualize, and scale quickly.

sigma-delta-neural-networks

Repository for the paper "An ultra-low power sigma-delta neuron circuit

signature_of_va_emotions

silent_speech

Code for the paper "Digital Voicing of Silent Speech" at EMNLP 2020

skorch

A scikit-learn compatible neural network library that wraps PyTorch

sktime

A unified toolbox for machine learning with time series

skywater-openfpga

FPGA tape-outs using the open-source Skywater 130nm PDK and OpenFPGA

skywater-pdk

Open source process design kit for usage with SkyWater Technology Foundry's 130nm node.

skywater-pdk-libs-sky130_fd_pr_reram

slayerpytorch

PyTorch implementation of SLAYER for training Spiking Neural Networks

snn-encoder-tools

Data encoders

snn-iir

This repo contains the implementation of paper Exploiting Neuron and Synapse Filter Dynamics in Spatial Temporal Learning of Deep Spiking Neural Network. It trains spiking neural network to learn spatial temporal patterns.

snn_benchmark

snn_hfo_ecog

A Spiking Neural Network for finding HFOs in prerecorded ECoG

snn_hfo_ieeg

snn_toolbox

Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.

speech_emotion_recognition

Using Convolutional Neural Networks in speech emotion recognition on the RAVDESS Audio Dataset.

sphinx

Main repository for the Sphinx documentation builder

sphinxcontrib-hdl-diagrams

Sphinx Extension which generates various types of diagrams from Verilog code.

spikes

A Spiking Neural Network framework with SNNML parser written in Python

spiking-equilibrium-prop

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.

spikingtimedependentplasticity

The code to simulate spiking neural networks as used in the paper "Spiking Time-Dependent Plasticity Leads to Efficient Coding of Predictions" by Pau Vilimelis Aceituno, Masud Ehsani and Juergen Jost

spytorch

Tutorial for surrogate gradient learning in spiking neural networks