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Name: 周奇
Type: User
Name: 周奇
Type: User
本项目记录我学习hadoop和spark等开源框架的代码,因为也是最近才用github,之前都是荒废状态,故部分都是是之前写好的,现在上传至github
✍️ 这里是写博客的地方 —— Halfrost-Field 冰霜之地
A series of Jupyter notebooks that walk you through the fundamentals of Machine Learning and Deep Learning in Python using Scikit-Learn, Keras and TensorFlow 2.
Hierarchical LSTM Project with Keras
基于Django和Hadoop集群进行的大数据分析平台
Distributed training framework for TensorFlow, Keras, PyTorch, and Apache MXNet.
Lectures for INFO8010 - Deep Learning, ULiège
Chinese Named Entity Recognition with IDCNN/biLSTM+CRF, and Relation Extraction with biGRU+2ATT 中文实体识别与关系提取
Just Code ! 针对面试训练算法题, 目前包括字节跳动面试题、 LeetCode 和剑指 offer ,持续扩容中 :star:
Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.
Financial Time Series Price forecast using Keras for Tensorflow. RNN LSTM
How to use LSTM trained in Keras in your Java project.
A collection of small extensions to Keras (RBM, momentum schedule, ..)
Keras implementation of LSTM Variational Autoencoder
东南大学《知识图谱》研究生课程
Chinese NER using Lattice LSTM. Code for ACL 2018 paper.
My own leetcode solutions by python
使用LDA+SVM进行文本的分类
Code repository for Learning PySpark by Packt
以撸代码的形式学习Python
Oxford Deep NLP 2017 course
Demonstrate all the questions on LeetCode in the form of animation.(用动画的形式呈现解LeetCode题目的思路)
《统计学习方法》的代码实现
致力于将李航博士《统计学习方法》一书中所有算法实现一遍
Linkedin爬虫,根据公司名字抓取员工的linkedin信息
:crystal_ball: Life is short, you need PyTorch.
Implementation of End-to-End Relation Extraction using LSTMs on Sequences and Tree Structures in ACL2016.
LSTM built using Keras Python package to predict time series steps and sequences. Includes sin wave and stock market data
根据自己搭的 LTP 服务器,实现:分词、词性标注、命名实体识别、依存句法分析、语义角色标、命名实体的抽取:人名,地名,机构名、三元组的抽取:主谓宾,动宾关系,介宾关系,(实体1,关系,实体2)
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.