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accdnn

A compiler from AI model to RTL (Verilog) accelerator in FPGA hardware with auto design space exploration.

accelerating-cnn-with-fpga

This project accelerates CNN computation with the help of FPGA, for more than 50x speed-up compared with CPU.

cnn_c_forword

使用c语言完成Lenet-5的前向传播过程

convolution_network_on_fpga

CNN acceleration on virtex-7 FPGA with verilog HDL

deeplearningc

Simple program to learn CNN (LeNet-5) in pure C

docs

TensorFlow documentation

flexcnn

fpga

数字IC相关资料

fpgabasedhighperformancetargetchecking

it is a set for all the respository of the project.

git_learn

jpg-png-to-mnist-nn-format

Python/Bash scripts for creating custom Neural Net Training Data -- this repo is for the MNIST format

learning-diy-rtos

自己动手从0到1写嵌入式操作系统 课程的相关资料下载

learning-nvdla-notes

NVDLA is an Open source DL/ML accelerator, which is very suitable for individuals or college students. This is the NOTES when I learn and try. Hope THIS PAGE may Helps you a bit. Contact Me:[email protected]

lightfacenet

This tensorflow project is based on MobileFaceNet, which use SqueezeNet and ShuffleNet as stem CNN to improve speed.

maixpy_scripts

micropython scripts for MaixPy

mindstudio

nvdla_compiler

opencv

Open Source Computer Vision Library

process-courses

PROCESS

protobuf

Protocol Buffers - Google's data interchange format

scalehls

A scalable High-Level Synthesis framework on MLIR

skrskr

sodla

Chisel implementation of the NVIDIA Deep Learning Accelerator (NVDLA), with self-driving accelerated

tengine

Tengine is a lite, high performance, modular inference engine for embedded device

tensorflow-facerecognition

基于MTCNN和MobileFaceNet实现的人脸识别，提供三种预测方式，满足各种需求 。

tim-vx

Verisilicon Tensor Interface Module

ultra-light-fast-generic-face-detector-1mb

💎1MB lightweight face detection model (1MB轻量级人脸检测模型)

ultra_net

FPGA-based neural network inference project for 2020 DAC System Design Contest

web-model-converter

xjtu-tripler

This repository is the backup of XJTU-Tripler project, participating dac19 system design contest