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coursera-ml-andrewng-notes

吴恩达老师的机器学习课程个人笔记

ecanet

Code for ECA-Net: Efficient Channel Attention for Deep Convolutional Neural Networks

flower_classification_dnndk_v1

The project is a simple example about how to use TensorFlow to train a ConNet model from labeled dataset and then use DNNDK tools to deploy the model into Xilinx FPGA(ZCU102 board). To make it easier to deploy with DNNDK. I just use numpy array as input data and OpenCV function to open images.

flower_classification_dnndk_v2

The project show how to quick train a model and deploy it on Xilinx FPGA using TensorFlow and DNNDK. It uses tf.data.Dataset API to handle input data, so that the input function need to be rewritten

free

翻墙、免费翻墙、免费科学上网、免费节点、免费梯子、免费ss/ssr/v2ray/trojan节点、蓝灯、谷歌商店、翻墙梯子

hao

mmdetection

OpenMMLab Detection Toolbox and Benchmark

nb

Neural Network Blocks - Collect all kinds of fancy model blocks for you to build more powerful neural network model.

pytorch-yolov4

PyTorch ,ONNX and TensorRT implementation of YOLOv4

style-based-recalibration-module

PyTorch code for our paper : "SRM : A Style-based Recalibration Module for Convolutional Neural Networks" (https://arxiv.org/abs/1903.10829)

verilog_work

yolov5

YOLOv5 in PyTorch > ONNX > CoreML > iOS