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snn_augmentation

Pytorch implementation of Neuromorphic Data Augmentation for SNN, Accepted to ECCV 2022.

snn_cv_applications_resources

Paper list for SNN based computer vision tasks.

snn_toolbox

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

som-snn-spoken-digit-classification

spain-visa-monitor

西班牙签证位置监听(base英国)

specaugment

SpecAugment: A Simple Data Augmentation Method for Automatic Speech Recognition

speech-transformer

A PyTorch implementation of Speech Transformer, an End-to-End ASR with Transformer network on Mandarin Chinese.

speechbrain

A PyTorch-based Speech Toolkit

spike-time-dependent-plasticity

A spiking neural network undergoes plastic changes based on the timing of neural spikes (MATLAB).

spytorch

Tutorial for surrogate gradient learning in spiking neural networks

squeeze_and_excitation

PyTorch Implementation of 2D and 3D 'squeeze and excitation' blocks for Fully Convolutional Neural Networks

srnn-icons2020

In this repo, Spiking recurrent neural network is applied on various task for ICONs2020

ssast

Code for the AAAI 2022 paper "SSAST: Self-Supervised Audio Spectrogram Transformer".

stam

Official implementation of "An Image is Worth 16x16 Words, What is a Video Worth?" (2021 paper)

stam-pytorch

Implementation of STAM (Space Time Attention Model), a pure and simple attention model that reaches SOTA for video classification

swin-transformer

This is an official implementation for "Swin Transformer: Hierarchical Vision Transformer using Shifted Windows".

sync-desync-model

he Sync/deSync model: How a synchronized hippocampus and a de-synchronized neocortex code memories. This repository houses the matlab files that were used for this project.

tdnn

Time delay neural network (TDNN) implementation in Pytorch using unfold method

temporal-coded-deep-snn

tensorflow-mnist-mlp-batch_normalization-weight_initializers

MNIST classification using Multi-Layer Perceptron (MLP) with 2 hidden layers. Some weight-initializers and batch-normalization are implemented.

tensorflow-yolov3

🔥 pure tensorflow Implement of YOLOv3 with support to train your own dataset

tensorpack

A Neural Net Training Interface on TensorFlow

text2poster-icassp-22

The souce code of the ICASSP-2022 paper "Text2Poster: Laying Out Stylized Texts on Retrieved Images"

the-sync-fire-desync-model

Deciphering episodic content from cortical alpha oscillations.

time-series-classification-and-clustering-with-reservoir-computing

Library for implementing reservoir computing models (echo state networks) for multivariate time series classification and clustering.

timesformer-pytorch

Implementation of TimeSformer from Facebook AI, a pure attention-based solution for video classification

tsfresh

Automatic extraction of relevant features from time series:

ukspainvisa

UKSpainVisa

urban-sound-classification

Urban sound classification using Deep Learning

vidvrd-helper

Video Relation Understanding (VRU) grand challenge toolbox