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aptpu

Generic APTPU RTL Design

bitmix

Simple library for mixed precision quantization in PyTorch

csce790_neuromorphic_computing

This repository contains the tutorials and homework assignments for CSCE 790: Neuromorphic computing course at UofSC.

cuda-neural-network

docker-envs

Docker environments for reproducible research work along with a tutorial on the basics of Docker.

edge-computing-class

This repository contains the assignments for the CSCE 790: Edge and Neuromorphic Computing course at the University of South Carolina under Assistant Professor Ramtin Zand with help from Peyton Chandarana and Mohammadreza Mohammadi.

edge-devices

This repository contains the code, scripts, and Dockerfiles for setting up different edge machine learning accelerators on different platforms.

eeg-datasets

A list of all public EEG-datasets

fpga-devcloud

Get started using Intel® FPGA tools on the Devcloud with tutorials, workshops, advanced courses, and sample projects built specifically for students, researchers, and developers. Visit our official Intel® FPGA Devcloud website:

hirise-demo

Demo for the paper entitled "HiRISE: High-Resolution Image Scaling for Edge ML via In-Sensor Compression and Selective ROI" presented at the Design Automation Conference 2024.

human-activity-recognition

A Machine Learning & Deep Learning Case Study to detect the type of activity--performing by a human subject--by using his/her smartphone sensors.

icas_ntt

iCAS @ University of South Carolina NTT Competition

imac

In this project, we show how magnetic-random access memory (MRAM) technology can be utilized to realize an In-Memory Analog Computing (IMAC) Architecture..

imac-dse

Here, we have the in-progress codes and documents for the Evolutionary-Algorithm based NV-Accelerator Optimization project.

imac-sim

inrc

This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform.

intel-training-modules

intel_movidius

neuro-edge-old

In this project, we investigate how neuromorphic computing can pave the way for bringing machine learning to edge devices such as smartwatches, autonomous cars, etc. Here, we will leverage Intel Loihi Platform to develop various real-world edge computing applications.

transformeraccelerator

zkresearch