A python-based utility to convert a grayscale image into verilog code.
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Updated
Oct 11, 2023 - Python
A python-based utility to convert a grayscale image into verilog code.
📑About TF-MVP paper which is Novel Sparsity-Aware Transformer Accelerator with Mixed-Length Vector Pruning
Library of hardware accelerators for popular cryptographic hash functions in SystemVerilog
The ELYSE platform experimental control-software
Efficient and Flexible Simulator for CNN Accelerator
Sample code to demonstrate how to use GNA unit in Intel CPUs for inferencing.
Python package for beam dynamic analysis well-suited for laser-wakefield acceleration
An efficient design space exploration (DSE) method for DNN accelerator
ARO Landing Zone Accelerator Reference Implementation play area
Learn how to train your own OpenCV Haar classifier
Configurable, easy-to-use accelerator.
Analytical modeling tool for CNNs running on array-based accelerators.
Describing How to Use Throughput Mode to Run Inference Effectively on Multiple NCS2 Devices with Intel (r) OpenVINO toolkit
Parse, transform, and convert all JSON files in Kaggle's CORD19 dataset to a single CSV-file
Memory-Aware DNN Algorithm-Hardware Mapping via Integer Linear Programming
A non-exhaustive collection of past, modern and future accelerators including their main parameters
This project was undertaken as a part of the data science accelerator programme from April - July 2022. The aim of the project is to try and understand and identify confounding variables which might affect a patient’s access to psychological therapies and/or their likelihood of responding positively to treatment.
🚀An implicit im2col supporting backpropagation on CUDA, and a CNN backpropagation framework.
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