A standalone C++ header-only generic graph library built upon the Boost Graph Library

Scalable HW-Aware Training for Analog In-Memory Computing

Analog AI Neural Architecture Search (analog-nas) is a modular and flexible framework to facilitate implementation of Analog-aware Neural Architecture Search.

Make Zotero effective for us LaTeX holdouts

CNN-Grinder Workflow Project Files

A Simulation Framework for Memristive Deep Learning Systems

Pure C ONNX runtime with zero dependancies for embedded devices

Tutorial for building a custom CUDA function for Pytorch

pytorch fixed point training tool/framework

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

2019 IEEE International Midwest Symposium on Circuits and Systems: Accelerating Stochastically Binarized Neural Networks on FPGAs using OpenCL

IEEE Access: Low-Power and High-Speed Deep FPGA Inference Engines for Weed Classification at the Edge

Implementation of autoencoders in PyTorch

IEEE Transactions on Circuits and Systems I: Efficient FPGA Implementations of Pair and Triplet-based STDP for Neuromorphic Architectures

Random Erasing Data Augmentation. Experiments on CIFAR10, CIFAR100 and Fashion-MNIST