fciasth

web_tasks

HHU‘s Innovation laboratory web_tasks

Machine-learning

Stanford coursera Andrew Ng

100daysML

Algorithms_Fourth_Edition

Algorithms_Fourth_Edition

baiduife

study baduife

DeepPrime2Sec

Fake115Upload

115

GAN-semisup-MNIST-Keras

GAN for semi-supervised learning (MNIST, Keras)

gans-in-action

Companion repository to GANs in Action: Deep learning with Generative Adversarial Networks

Generating-and-designing-DNA

Code for the paper "Generating and designing DNA with deep generative models" (arXiv:1712.06148)

IFE

My IFE work

interview

📚 C/C++ 技术面试基础知识总结，包括语言、程序库、数据结构、算法、系统、网络、链接装载库等知识及面试经验、招聘、内推等信息。

Java-Interview

Java 面试必会 直通BAT

LSTM-CRF

A (CNN+)RNN(LSTM/BiLSTM)+CRF model for sequence labelling.:smirk:

ML_LHY_homework

PaddlePaddle_code

用PaddlePaddle和Tensorflow实现常用的深度学习算法

paperAction

python_test

pythonEX

pythonMLAction

Machine Learning by python Action

Recommended-system

Recommendation system (collaborative filtering)

Recommended-system-Implicit-semantic-model

RuiDa

sample_app

semi-supervised-GAN

There is the semi-supervised implement of 'Improved Techniques for Training GANs '

Semisupervised-learning-with-DCGANs

Using DCGANs to learn useful representations during the adversarial training process and using the learned features to classify images with relatively little training data

SevenSha1UIAdvancedHelper

转存助手ui优化版

ssgan

Semi supervised GAN implementation

SVDplusplus-Project

This project implements the recommendation techniques that are proposed in the paper “Optimizing parallel Collaborative Filtering approaches for improving recommendation systems performance” published in 26 April 2019 on Information 10, no. 5.

vue.js-pro

vue.js初学练习