ZNHU's repositories
Django-Stu
基于python的Django框架学生信息管理系统
tf-keras-vis
Neural network visualization toolkit for tf.keras
3y
:notebook:从Java基础、JavaWeb基础到常用的框架再到面试题都有完整的教程，几乎涵盖了Java后端必备的知识点
audio-video-capturer-stop-maintenance
招募继续维护者，欢迎fork，详见readme文件。
cnn-bilstm-attention
Multivariate Time Series Prediction using Keras (CNN BiLSTM Attention)
CNN-LSTM-Attention
使用卷积神经网络-长短期记忆网络（bi-LSTM）-注意力机制对股票收盘价进行回归预测。The convolution neural network, short-term memory network and attention mechanism are used to predict the closing price.
deep-learning-with-python-notebooks
Jupyter notebooks for the code samples of the book "Deep Learning with Python"
Fall-Detection
Non-invasive Fall Detection with Keras and Tensorflow
falldetection_openpifpaf
Fall Detection using OpenPifPaf's Human Pose Estimation model
ftrade
基于Django开发的一个产品展示网站示例
google-research
Google Research
HelloGitHub
:octocat: 分享 GitHub 上有趣、入门级的开源项目
HMDB51-Action-Recognition
Created several models to classify actions in HMDB51 dataset. Used models consisting of convolutional and pooling layers for feature extraction followed by recurrent neural networks for classification. Devised novel two-stream architecture capturing spatial and temporal features of input videos, in conjunction with Mask R-CNN for background removal, with bidirectional long-short term memory for classification, earning 80% accuracy on the test set.
Java1908
2019年8月Java入门到精通完整教程+源码
keras-attention-mechanism
Attention mechanism Implementation for Keras.
news_hotspot_crawler
基于scrapy的**国内各大新闻网站内容爬虫
OPMS_v3
基于 Python 3.5 + Django 2.0 开发的运维管理系统
Pigmented-skin-disease-automatic-recognition-and-classification-system
设计并实现了一个基于深度学习、集成学习、迁移学习、GAN等技术的色素性皮肤病自动识别七分类系统。本系统主要由服务端和客户端两个模块组成。服务端基于深度学习、集成学习、迁移学习、GAN等技术实现了对色素性皮肤病自动识别七分类。客户端使用微信小程序和网站(SSM、Springboot)开发。用户通过微信小程序或网站上传图像到服务端，服务端返回所属类别。
python_for_data_analysis_2nd_chinese_version
《利用Python进行数据分析·第2版》
ruoyi-vue-pro
自学若一框架
tensorflow-VTN
An implementation of Video Transformer Network (VTN) approach for Action Recognition in TensorFlow.
TimeSformer
The official pytorch implementation of our paper "Is Space-Time Attention All You Need for Video Understanding?"
train_arch
cnn+rnn+attention: vgg(vgg16,vgg19)+rnn(LSTM, GRU)+attention, resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152)+rnnrnn(LSTM, GRU)+attention, inception_v4+rnn(LSTM, GRU)+attention, inception_resnet_v2+rnn(LSTM, GRU)+attention,..... vgg(vgg16,vgg19), resnet(resnet_v2_50,resnet_v2_101,resnet_v2_152), inception_v4, inception_resnet_v2,.....
video-classification
Tutorial for video classification/ action recognition using 3D CNN/ CNN+RNN on UCF101
X3D-tf
An implementation of the X3D video recognition architecture in TensorFlow/Keras
ZNHU.github.io
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