byshawn Goto Github PK

bpneuralnetworks

利用Python实现三层BP神经网络

byshawn.github.io

ecnuundergraduatedissertationtemplate

华东师范大学2018级本科生Latex毕业论文模板

emotion_classifier

emotion classifier based on kaggle fer2013

fcn.berkeleyvision.org

Fully Convolutional Networks for Semantic Segmentation by Jonathan Long*, Evan Shelhamer*, and Trevor Darrell. CVPR 2015 and PAMI 2016.

image-segmentation-keras

Implementation of Segnet, FCN, UNet , PSPNet and other models in Keras.

image_class

基于keras集成多种图像分类模型： VGG16、VGG19、InceptionV3、Xception、MobileNet、AlexNet、LeNet、ZF_Net、ResNet18、ResNet34、ResNet50、ResNet_101、ResNet_152、DenseNet

machinelearning

My blogs and code for machine learning. http://cnblogs.com/pinard

mask_rcnn

Mask R-CNN for object detection and instance segmentation on Keras and TensorFlow

mathmodel

研究生数学建模，数学建模竞赛优秀论文，数学建模算法，LaTeX论文模板，算法思维导图，参考书籍，Matlab软件教程，PPT

mmsegmentation

OpenMMLab Semantic Segmentation Toolbox and Benchmark.

perception

Evaluating 'Graphical Perception' with CNNs

reinforcement-learning-an-introduction

Python Implementation of Reinforcement Learning: An Introduction

segment-anything

The repository provides code for running inference with the SegmentAnything Model (SAM), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.

simple-faster-rcnn-pytorch

A simplified implemention of Faster R-CNN that replicate performance from origin paper

starter-hugo-academic

starter-hugo-academic-1

🎓 Hugo Academic Theme 创建一个学术网站. Easily create a beautiful academic résumé or educational website using Hugo, GitHub, and Netlify.

super-resolution

Tensorflow 2.x based implementation of EDSR, WDSR and SRGAN for single image super-resolution