menrui1 Goto Github PK

followers: 1.0 following: 2.0 repos: 35.0 gists: 0.0

Type: User

menrui1's Projects

air-quality-forecasting--outlier-detection-in-multivariate-time-series-data

LSTM model for multivariate time series forecasting using the Keras deep learning library.

air-quality-index-prediction-using-lstm

I predict air quality index of a city in China using a Long Short Term Memory (LSTM) neural network. for a year. Executed time series analysis

cs-notes

:books: 技术面试必备基础知识、Leetcode、计算机操作系统、计算机网络、系统设计、Java、Python、C++

deep-learning-v2-pytorch

Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101

easy-scraping-tutorial

Simple but useful Python web scraping tutorial code.

fastai

The fastai deep learning library, plus lessons and tutorials

fnn_multiclass_keras

A Python implementation of feed forward neural network for classification using keras library.

geoman

Tensorflow Implement of GeoMAN, IJCAI-18

hands-on-ml-zh

:book: [译] Sklearn 与 TensorFlow 机器学习实用指南【版权问题，网站已下线！！】

hmtl

🌊HMTL: Hierarchical Multi-Task Learning - A State-of-the-Art neural network model for several NLP tasks based on PyTorch and AllenNLP

JetBrains 系列软件汉化包关键字: Android Studio 3.5 汉化包 CLion 2019.3 汉化包 DataGrip 2019.3 汉化包 GoLand 2019.3 汉化包 IntelliJ IDEA 2019.3 汉化包 PhpStorm 2019.3 汉化包 PyCharm 2019.3 汉化包 Rider 2019.3 汉化包 RubyMine 2019.3 汉化包 WebStorm 2019.3 汉化包

keras-mmoe

A Keras implementation of "Modeling Task Relationships in Multi-task Learning with Multi-gate Mixture-of-Experts" (KDD 2018)

machine-learning-learning-notes

周志华《机器学习》又称西瓜书是一本较为全面的书籍，书中详细介绍了机器学习领域不同类型的算法(例如：监督学习、无监督学习、半监督学习、强化学习、集成降维、特征选择等)，记录了本人在学习过程中的理解思路与扩展知识点，希望对新人阅读西瓜书有所帮助！

machine-learning-notes

周志华《机器学习》手推笔记

machine-learning_zhouzhihua

Exercises answers to the book "machine-learning" written by Prof. Zhou Zhihua of Nanjing University

machine_learning_beginner

机器学习初学者公众号作品

machinelearning

周志华《机器学习》

machinelearning-watermelonbook

周志华-机器学习

machinelearning_zhouzhihua_problemsets

Exercises answers to the book "machine-learning" written by Zhou Zhihua。周志华《机器学习》课后习题，个人解答。各算法都拿numpy和pandas实现了一遍

miaosha

⭐⭐⭐⭐秒杀系统设计与实现.互联网工程师进阶与分析🙋🐓

mixdnn

Images classification, DeepNets, Deep Learning, Auto Encoders, RBM, CNN

multitask-learning

Multitask Learning Resources

multitask_sentiment_analysis

Multitask Deep Learning for Sentiment Analysis using Character-Level Language Model, Bi-LSTMs for POS Tag, Chunking and Unsupervised Dependency Parsing. Inspired by this great article https://arxiv.org/abs/1611.01587

neural_network

Neural Network implementation matlab (RBM, DBN, DNN)

pytorch-multi-task-multi-class-classification

旨在搭建一个分类问题在Pytorch框架下的通解，批量解决单任务多分类问题、多任务多分类问题。

menrui1 Goto Github PK

menrui1's Projects

Recommend Projects

Recommend Topics

Recommend Org