iCAS-Lab

Pinned Repositories

bitmix
Simple library for mixed precision quantization in PyTorch
Language:Python10
CSCE790_neuromorphic_computing
This repository contains the tutorials and homework assignments for CSCE 790: Neuromorphic computing course at UofSC.
Language:Python9 1 02
CUDA-Neural-Network
Language:Cuda10
edge-devices
This repository contains the code, scripts, and Dockerfiles for setting up different edge machine learning accelerators on different platforms.
Language:Python10
iCAS_NTT
iCAS @ University of South Carolina NTT Competition
Language:C++1 1 00
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..
Language:Java21
IMAC-Sim
Language:Raku41
intel_movidius
Language:Dockerfile21
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.
Language:Swift11
TransformerAccelerator
Language:Python2 1 131

iCAS-Lab's Repositories

iCAS-Lab/CSCE790_neuromorphic_computing
This repository contains the tutorials and homework assignments for CSCE 790: Neuromorphic computing course at UofSC.
Language:Python9 1 02
iCAS-Lab/IMAC-Sim
Language:Raku41
iCAS-Lab/APTPU
Generic APTPU RTL Design
Language:Verilog2
iCAS-Lab/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..
Language:Java21
iCAS-Lab/intel_movidius
Language:Dockerfile21
iCAS-Lab/TransformerAccelerator
Language:Python2 1 131
iCAS-Lab/bitmix
Simple library for mixed precision quantization in PyTorch
Language:Python10
iCAS-Lab/CUDA-Neural-Network
Language:Cuda10
iCAS-Lab/edge-devices
This repository contains the code, scripts, and Dockerfiles for setting up different edge machine learning accelerators on different platforms.
Language:Python10
iCAS-Lab/iCAS_NTT
iCAS @ University of South Carolina NTT Competition
Language:C++1 1 00
iCAS-Lab/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.
Language:Swift11
iCAS-Lab/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.
Language:Python0 1 03
iCAS-Lab/IMAC-DSE
Here, we have the in-progress codes and documents for the Evolutionary-Algorithm based NV-Accelerator Optimization project.
Language:Python00
iCAS-Lab/ZKResearch
00
iCAS-Lab/docker-envs
Docker environments for reproducible research work along with a tutorial on the basics of Docker.
iCAS-Lab/EEG-Datasets
A list of all public EEG-datasets
iCAS-Lab/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:
iCAS-Lab/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-Lab/INRC
This repository will host models, modules, algorithms and applications developed by the INRC Community to run on the Intel Loihi Platform.
Language:Jupyter Notebook
iCAS-Lab/intel-training-modules