07-19 暑期实习及提前批NLP岗面经记录(头条, oppo, 作业帮....) 07-11 各种工具快捷键汇总 06-26 argparse 06-20 pandas常用代码段 06-20 gensim Word2vec的使用总结 05-29 Character-level Convolutional Networks for Text Classification阅读笔记 05-25 Deep Learning for Extreme Multi-label Text Classification阅读笔记 05-21 关于参数初始化 05-10 Stochastic Answer Networks for Natural Language Inference阅读笔记 05-09 Multiway Attention Networks for Modeling Sentence Pairs阅读笔记 05-08 Semantic Sentence Matching with Densely-connected Recurrent and Co-attentive Information阅读笔记 05-08 Improving Language Understanding by Generative Pre-Training阅读笔记 05-08 A Simple but Tough-to-Beat Baseline for Sentence Embeddings阅读笔记 05-08 pytorch matmul和mm和bmm区别 05-07 pytorch lstm总结 04-29 Git常用操作 04-28 常用shell命令总结 04-15 SGD,Adam,momentum等优化算法比较 04-14 用numpy自己实现一个前馈神经网络 04-12 Natural Language Inference Over Interaction Space(DIIN)阅读笔记 04-12 Multi-Task Deep Neural Networks for Natural Language Understanding阅读笔记 04-12 Deep Pyramid Convolutional Neural Networks for Text Categorization阅读笔记 04-12 A Convolutional Neural Network for Modelling Sentences(DCNN)阅读笔记 04-12 Attention-Based Bidirectional Long Short-Term Memory Networks for Relation Classification阅读笔记 04-12 Recurrent Convolutional Neural Networks for Text Classification阅读笔记 04-11 Universal Language Model Fine-tuning for Text Classification(ULMFiT)阅读笔记 04-11 Bag of Tricks for Efficient Text Classification(FastText)阅读笔记 04-11 Effective Use of Word Order for Text Categorization with Convolutional Neural Networks阅读笔记 04-11 Convolutional Neural Networks for Sentence Classification阅读笔记及复现 04-11 排序题目汇总 04-11 二叉树题目汇总 04-10 Bilateral Multi-Perspective Matching for Natural Language Sentences阅读笔记及复现 04-10 字符串处理相关函数 04-09 Hierarchical Attention Networks for Document Classification阅读笔记 04-09 A Decomposable Attention Model for Natural Language Inference阅读笔记 04-08 Enhanced LSTM for Natural Language Inference(ESIM)阅读笔记 04-08 Siamese Recurrent Architectures 阅读笔记及复现 03-18 CS224n(winter 2019)笔记——Lecture2 03-18 Glove公式推导 03-15 CS224n(winter 2019)笔记——Lecture1 03-13 make_heap, pop_heap, push_heap, sort_heap用法 03-12 C++ STL容器总结（二）——关联容器及容器适配器 03-12 C++ STL容器总结（一）——顺序性容器 03-08 机器学习面试知识点总结（五）——决策树 03-06 C++ const与指针的结合 03-06 C++类中成员函数声明后面的const的含义 03-05 机器学习面试知识点总结（四）——逻辑回归 03-04 向量空间 内积空间 欧氏空间 希尔伯特空间 03-02 机器学习面试知识点总结（三）——SVM 03-01 机器学习面试知识点总结（二）——模型评估 02-28 机器学习面试知识点复习（一）——特征工程 02-27 python redis常见用法总结 02-26 机器学习及NLP学习资源汇总(持续更新) 02-19 gensim加载Glove预训练模型 02-19 torchtext学习总结 02-19 文本分类论文阅读笔记