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Jing Yao's Projects

active-nlp icon active-nlp

Bayesian Deep Active Learning for Natural Language Processing Tasks

algorithm_interview_notes-chinese icon algorithm_interview_notes-chinese

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。

conv-knrm icon conv-knrm

Convolutional Neural Networks for So-Matching N-Grams in Ad-hoc Search

cs-notes icon 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-interview-book icon deep-learning-interview-book

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）

drl-rec icon drl-rec

Deep reinforcement learning for recommendation system

flowqa-python3 icon flowqa-python3

FlowQA: Grasping Flow in History for Conversational Machine Comprehension

fusionnet-nli icon fusionnet-nli

An example for applying FusionNet to Natural Language Inference

gcn icon gcn

Implementation of Graph Convolutional Networks in TensorFlow

java-tutorial icon java-tutorial

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！

javaguide icon javaguide

「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 icon leetcode

LeetCode Solutions: A Record of My Problem Solving Journey.( leetcode题解，记录自己的leetcode解题之路。)

leetcodeanimation icon leetcodeanimation

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）

machine-learning-learning-notes icon 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！

matchzoo icon matchzoo

Facilitating the design, comparison and sharing of deep text matching models.

ml-nlp icon ml-nlp

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。

nlp_ability icon nlp_ability

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

plmpapers icon plmpapers

Must-read Papers on pre-trained language models.

pytorch-handbook icon pytorch-handbook

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

qanet icon qanet

A Tensorflow implementation of QANet for machine reading comprehension

reinforcement-learning icon reinforcement-learning

Implementation of Reinforcement Learning Algorithms. Python, OpenAI Gym, Tensorflow. Exercises and Solutions to accompany Sutton's Book and David Silver's course.

san_mrc icon san_mrc

Stochastic Answer Networks (SAN) for Machine Reading Comprehension

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