Maxwellhyh / AMD_AECG_Summer_School_Projects
☆16Updated 2 years ago
Alternatives and similar repositories for AMD_AECG_Summer_School_Projects:
Users that are interested in AMD_AECG_Summer_School_Projects are comparing it to the libraries listed below
- Vitis AI Lab: MNIST classifier☆17Updated 2 years ago
- ☆60Updated 2 years ago
- Implementation of YOLOv3-tiny + Depthwise Separable Convolution on FPGA☆28Updated 2 years ago
- FPGA实现动态图像识别☆16Updated 4 years ago
- ☆13Updated last year
- FPGA-based hardware accelerator for Vision Transformer (ViT), with Hybrid-Grained Pipeline.☆32Updated last month
- This course provides professors with an understanding of high-level synthesis design methodologies necessary to develop digital systems u…☆37Updated 5 years ago
- a project build the SSD net in pynq-z2☆15Updated 4 years ago
- 【入门项目】基于PYNQ-Z2实现手写数字识别卷积神经网络硬件加速器☆135Updated last year
- CNN-Accelerator based on FPGA developed by verilog HDL.☆45Updated 4 years ago
- ☆51Updated last year
- verilog实现TPU中的脉动阵列计算卷积的module☆77Updated 3 years ago
- ☆26Updated 2 years ago
- ☆29Updated 3 years ago
- 搭建卷积神经网络并利用FPGA加速实现交通标志识别☆26Updated 4 years ago
- The CNN based on the Xilinx Vivado HLS☆37Updated 3 years ago
- ☆39Updated 5 years ago
- You can run it on pynq z1. The repository contains the relevant Verilog code, Vivado configuration and C code for sdk testing. The size o…☆147Updated 10 months ago
- An FPGA Accelerator for Transformer Inference☆76Updated 2 years ago
- 基于HLS的高效深度卷积神经网络FPGA实现方法☆69Updated 5 years ago
- Nuclei E203 with yolo accelerator based on xc7k325☆10Updated 7 months ago
- A simple demo to implement the Handwritten Mathematical Calculator on PYNQ-Z2 FPGA platform by using HLS.☆37Updated 4 years ago
- Codes to implement MobileNet V2 in a FPGA☆24Updated 4 years ago
- some interesting demos for starters☆69Updated 2 years ago
- 可运行☆30Updated 2 years ago
- This TRD is implement DPU v1.4.0 on PYNQ-Z2 board☆44Updated 4 years ago
- CNN accelerator implemented with Spinal HDL☆144Updated last year
- hls code zynq 7020 pynq z2 CNN☆79Updated 5 years ago
- 网络训练、图像预处理以及部分hend功能是基于pc端实现的,只 有主干网络部署在fpga上,片上资源无法支持整个网络所需资源,建议添加外部存储及DDR☆78Updated last year