Pinned Repositories
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
pytorch_ANN_to_SNN
A Pytorch-based library for the simulation of rate-encoded deep spiking neural networks.
sms821's Repositories
sms821/pytorch_ANN_to_SNN
A Pytorch-based library for the simulation of rate-encoded deep spiking neural networks.
sms821/AedatTools
Tools for manipulating .aedat files (timestamped address-event data from neuromorphic hardware), in Matlab and Python
sms821/AlexNet-Experiments-Keras
Code examples for training AlexNet using Keras and Theano
sms821/BERT-squad-distributed
sms821/BinaryNet
Training Deep Neural Networks with Weights and Activations Constrained to +1 or -1
sms821/decolle-public
sms821/distiller
Neural Network Distiller by Intel AI Lab: a Python package for neural network compression research. https://nervanasystems.github.io/distiller
sms821/Feature-Map-Codecs
sms821/Gesture-SNN
sms821/models
Models and examples built with TensorFlow
sms821/puma-compiler
PUMA Compiler
sms821/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.
sms821/python-aer
Set of functions to read Address-Event Representation (AER) data in python (.aedat extention) (jAER). Mostly for DVS data. paer
sms821/pytorch
sms821/pytorch-cifar
95.16% on CIFAR10 with PyTorch
sms821/pytorch-memonger
Sublinear memory optimization for deep learning. https://arxiv.org/abs/1604.06174
sms821/pytorch-mobilenet
PyTorch MobileNet Implementation of "MobileNets: Efficient Convolutional Neural Networks for Mobile Vision Applications"
sms821/pytorch-NN
Training MobileNet-like architectures on the Tiny ImageNet dataset using Pytorch
sms821/pytorch_memonger
Experimental ground for optimizing memory of pytorch models
sms821/SCALE-Sim
sms821/snn_toolbox
Toolbox for converting analog to spiking neural networks (ANN to SNN), and running them in a spiking neuron simulator.
sms821/tonic
Publicly available event datasets and transforms.
sms821/Training-SNN-with-checkpointing-and-time-skipping-in-PyTorch