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ryg_rans

Simple rANS encoder/decoder (arithmetic coding-ish entropy coder).

savn

Learning to Learn how to Learn: Self-Adaptive Visual Navigation using Meta-Learning (https://arxiv.org/abs/1812.00971)

scai17

siammask

[CVPR2019] Fast Online Object Tracking and Segmentation: A Unifying Approach

slayerpytorch

PyTorch implementation of SLAYER for training Spiking Neural Networks

snn

An uncompleted spiking neural network simulation used to train MNIST data

snn-brian-mlp

Spiking MLP built using BRIAN

snn-image-segmentation

This is project for image segmentation based on Spiking Neural Network

snn_global_pattern_induction

Framework to train and simulate a spiking neural network (SNN) using Brian2, that implements a learning rule that combines STDP with a global feedback mechanism to support strong, contrasty pattern formation.

snn_object_recognition

Spiking CNN for object recognition

snns-rnns

The code associated with Comparing SNNs and RNNs on neuromorphic vision datasets: Similarities and differences.

spikeflow

Python library for easy creation and running of spiking neural networks in tensorflow.

spikeprop

spiking-neural-network

Pure python implementation of SNN

spiking-neural-network-based-slam

spiking_relu_conversion

spikinglca

SpikingLCA

spinnakercsps

This repository will help you create a spiking neural network which structure represents a constraint satisfaction problem and which dynamics implements a stochastic search to solve it.

spyketorch

High-speed simulator of convolutional spiking neural networks with at most one spike per neuron.

srnn-icons2020

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

stdp-mnist

supervised-hashing-baselines

How should we evaluate supervised hashing

svd-update

tempotron

tempotron-classifier

Python implementation of a tempotron classifier for the MNIST database.

tensorflow

Computation using data flow graphs for scalable machine learning

transfer-learning-library

Transfer Learning Library for Domain Adaptation and Finetune.

transferlearning

Transfer learning / domain adaptation / domain generalization / multi-task learning etc. Papers, codes, datasets, applications, tutorials.-迁移学习

tssl-bp

Pytorch implementation of TSSL-BP rule for Deep Spiking Neural Networks.

vision_transformer