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aedattools

Tools for manipulating .aedat files (timestamped address-event data from neuromorphic hardware), in Matlab and Python

alexnet-experiments-keras

Code examples for training AlexNet using Keras and Theano

bert-squad-distributed

binarynet

Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1

decolle-public

distiller

Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller

feature-map-codecs

gesture-snn

models

Models and examples built with TensorFlow

puma-compiler

PUMA Compiler

puma-simulator

[ASPLOS 2019] PUMA-simulator provides a detailed simulation model of a dataflow architecture built with NVM (non-volatile memory), and runs ML models compiled using the puma compiler.

python-aer

Set of functions to read Address-Event Representation (AER) data in python (.aedat extention) (jAER). Mostly for DVS data. paer

pytorch

pytorch-cifar

95.16% on CIFAR10 with PyTorch

pytorch-memonger

Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174

pytorch-mobilenet

PyTorch MobileNet Implementation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"

pytorch-nn

Training MobileNet-like architectures on the Tiny ImageNet dataset using Pytorch

pytorch_ann_to_snn

A Pytorch-based library for the simulation of rate-encoded deep spiking neural networks.

pytorch_memonger

Experimental ground for optimizing memory of pytorch models

scale-sim

snn_toolbox

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

tonic

Publicly available event datasets and transforms.

training-snn-with-checkpointing-and-time-skipping-in-pytorch