Lists (1)
Stars
你想蒸馏的下一个员工，何必是同事。蒸馏任何人的思维方式——心智模型、决策启发式、表达DNA。Distill how anyone thinks.
A Curated List of Awesome Table Structure Recognition (TSR) Research. Including models, papers, datasets and codes. Continuously updating.
🔥LeetCode solutions in any programming language | 多种编程语言实现 LeetCode、《剑指 Offer（第 2 版）》、《程序员面试金典（第 6 版）》题解
Starter code to solve real world text data problems. Includes: Gensim Word2Vec, phrase embeddings, Text Classification with Logistic Regression, word count with pyspark, simple text preprocessing, …
Crack LeetCode, not only how, but also why.
reference architecture for building a travel application with GPT3
A configurable, tunable, and reproducible library for CTR prediction https://fuxictr.github.io
Machine learning in Python with scikit-learn MOOC
Flask_template_auth_with_Dash
Sample app to show a way to integrate Dash into Flask
Code for the note storing flask web app made during a YouTube video.
⛽️「算法通关手册」：从零开始的「算法与数据结构」学习教程，200 道「算法面试热门题目」，1000+ 道「LeetCode 题目解析」，持续更新中！
一本关于排序算法的 GitBook 在线书籍 《十大经典排序算法》，多语言实现。
A collection of tutorials for Snorkel
STriP Net: Semantic Similarity of Scientific Papers (S3P) Network
Google Research
an Open Course Platform for Stanford CS224n (2020 Winter)
🚀 A simple way to launch, train, and use PyTorch models on almost any device and distributed configuration, automatic mixed precision (including fp8), and easy-to-configure FSDP and DeepSpeed support
A curated list of awesome Deep Learning (DL) for Natural Language Processing (NLP) resources
📖 A curated list of resources dedicated to Natural Language Processing (NLP)
Segment documents into coherent parts using word embeddings.
文本挖掘和预处理工具（文本清洗、新词发现、情感分析、实体识别链接、关键词抽取、知识抽取、句法分析等），无监督或弱监督方法
中文分词 词性标注 命名实体识别 依存句法分析 成分句法分析 语义依存分析 语义角色标注 指代消解 风格转换 语义相似度 新词发现 关键词短语提取 自动摘要 文本分类聚类 拼音简繁转换 自然语言处理
专注于可解释的NLP技术 An NLP Toolset With A Focus on Explainable Inference
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
future event predict demo based on causal event graph that covers the full industries that can predict the benefits or bad effects in accordance with the event given by the user, 基于因果事理图谱的事件预测。
A concept and obvious expression pattern collection of Chinese compound event extraction which then be evolved into ComplexEventGraph，本项目提出了中文复合事件的概念与显式模式，包括条件事件、因果事件、顺承事件、反转事件等事件抽取，并形成事理图谱。