intelligent-computing-lab-yale Goto Github PK

bntt-batch-normalization-through-time

BNTT - Frontiers in Neuroscience (2021)

detectx

efficientlif-net

energy-separation-training

exploring-lottery-ticket-hypothesis-in-snns

Exploring Lottery Ticket Hypothesis in Sparse Spiking Neural Networks (ECCV2022, oral presentation)

exploring-temporal-information-dynamics-in-spiking-neural-networks

PyTorch Implementation of Exploring Temporal Information Dynamics in Spiking Neural Networks (AAAI23)

fedsnn

Source code for the paper "Federated Learning with Spiking Neural Networks".

mint-quantization

MINT, Multiplier-less INTeger Quantization for Energy Efficient Spiking Neural Networks, ASP-DAC 2024

nda_snn

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

neural-architecture-search-for-spiking-neural-networks

Neural Architecture Search for Spiking Neural Networks, ECCV2022

pivot

privatesnn

[AAAI 2022] PrivateSNN: Fully Privacy-Preserving Spiking Neural Networks. https://arxiv.org/abs/2104.03414

rate-vs-direct

[ICASSP2022] RATE CODING OR DIRECT CODING: WHICH ONE IS BETTER FOR ACCURATE, ROBUST, and ENERGY-EFFICIENT SPIKING NEURAL NETWORKS

sata

An energy simulation framework for BPTT-based SNN inference and training.

seenn

Pytorch implementation of SEENN (Spiking Early Exit Neural Networks) (NeurIPS 2023)

skipresconnection

snn-segmentation

snn_har

Pytorch implementation of Spiking Neural Networks for Human Activity Recognition.

snncka

Pytorch implementation of ANN-SNN representation similarity analysis (TMLR 2023)

spikesim

u-ticket-pruning

workload balanced LTH-based pruning for SNNs

visual-explanations-from-spiking-neural-networks-using-interspike-intervals

Visual explanations from spiking neural networks using inter-spike intervals. Sci Rep 11, 19037 (2021).

xpert