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Bhavin-umatiya/Latency-Optimized-Heterogeneous-AI-Accelerator

Latency-Optimized Heterogeneous AI Accelerator for Vision Transformers (ViT)

Tcl MIT GitHub ↗

★ 2

stars

100

AI relevance

solo dev

tool sigs

GitHub Topics

#axi-dma #deep-learning #edge-ai #fpga #hls #petalinux #vision-transformer #vitis-hls #xilinx #zynq #heterogeneous-computing #vivado #latency-optimized #vit-accelerator

Language breakdown (by bytes)

C++

2.8%

Tcl

68.6%

Python

27.6%

Why this is classified AI-related

The AI relevance score checks four places for AI keywords and adds the weight of each one that matches. Full methodology

Repository name no match

Description +25 matched: ai

GitHub topics +25 matched: ai

README head +20 (derived from the score — README text is not stored)

Total AI relevance score: 100 / 100

Owner

Account

Bhavin-umatiya

Type

User

Followers

RTL Design & Verification (SystemVerilog/UVM) | Embedded Systems | Linux Foundation Contributor (ROS 2, Zephyr)

Dates

Created on GitHub	2026-05-16
Last push	2026-05-19
First seen here	2026-05-16
Last fetched	2026-08-04 16:17