jingyaojing Goto Github PK
Name: Jing Yao
Type: User
Company: Renmin University of China
Location: Beijing
Name: Jing Yao
Type: User
Company: Renmin University of China
Location: Beijing
Bayesian Deep Active Learning for Natural Language Processing Tasks
reports collected for ai class project @2017
2018/2019/校招/春招/秋招/自然语言处理(NLP)/深度学习(Deep Learning)/机器学习(Machine Learning)/C/C++/Python/面试笔记,此外,还包括创建者看到的所有机器学习/深度学习面经中的问题。 除了其中 DL/ML 相关的,其他与算法岗相关的计算机知识也会记录。 但是不会包括如前端/测试/JAVA/Android等岗位中有关的问题。
A complete computer science study plan to become a software engineer.
Convolutional Neural Networks for So-Matching N-Grams in Ad-hoc Search
: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++
深度学习面试宝典(含数学、机器学习、深度学习、计算机视觉、自然语言处理和SLAM等方向)
DeepWalk - Deep Learning for Graphs
Deep reinforcement learning for recommendation system
FlowQA: Grasping Flow in History for Conversational Machine Comprehension
An example for applying FusionNet to Natural Language Inference
Implementation of Graph Convolutional Networks in TensorFlow
Implementation and experiments of graph embedding algorithms.
本仓库涵盖大部分Java程序员所需要掌握的核心知识,力求打造为最完整最实用的Java开发者学习指南,如果对你有帮助,给个star告诉我吧,谢谢!
「Java学习+面试指南」一份涵盖大部分Java程序员所需要掌握的核心知识。准备 Java 面试,首选 JavaGuide!
LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解,记录自己的leetcode解题之路。)
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)
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!
Facilitating the design, comparison and sharing of deep text matching models.
此项目是机器学习(Machine Learning)、深度学习(Deep Learning)、NLP面试中常考到的知识点和代码实现,也是作为一个算法工程师必会的理论基础知识。
:books: 专门为自然语言处理(NLP)面试准备的学习笔记与资料
总结梳理自然语言处理工程师(NLP)需要积累的各方面知识,包括面试题,各种基础知识,工程能力等等,提升核心竞争力
Must-read Papers on pre-trained language models.
pytorch handbook是一本开源的书籍,目标是帮助那些希望和使用PyTorch进行深度学习开发和研究的朋友快速入门,其中包含的Pytorch教程全部通过测试保证可以成功运行
A Tensorflow implementation of QANet for machine reading comprehension
Rainbow is all you need! Step-by-step tutorials from DQN to Rainbow
Best Practices on Recommendation Systems
Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.
Stochastic Answer Networks (SAN) for Machine Reading Comprehension
SDNet
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.