rcmao

rcmao's Stars

• halfrost/LeetCode-Go

  ✅ Solutions to LeetCode by Go, 100% test coverage, runtime beats 100% / LeetCode 题解

  Language:Go33.1k626795.7k

• qianguyihao/Web

  千古前端图文教程，超详细的前端入门到进阶知识库。从零开始学前端，做一名精致优雅的前端工程师。

  26.7k6492116.2k

• wangzheng0822/algo

  数据结构和算法必知必会的50个代码实现

  Language:Python22.9k8311267.1k

• wesm/pydata-book

  Materials and IPython notebooks for "Python for Data Analysis" by Wes McKinney, published by O'Reilly Media

  Language:Jupyter Notebook22.3k1.5k12315.2k

• ssloy/tinyrenderer

  A brief computer graphics / rendering course

  Language:C++20.7k4201282k

• huggingface/datasets

  🤗 The largest hub of ready-to-use datasets for ML models with fast, easy-to-use and efficient data manipulation tools

  Language:Python19.3k2783k2.7k

• stephentian/33-js-concepts

  :scroll: 每个 JavaScript 工程师都应懂的33个概念 @leonardomso

  Language:JavaScript15.1k461182.3k

• mapbox/mapbox-gl-js

  Interactive, thoroughly customizable maps in the browser, powered by vector tiles and WebGL

  Language:TypeScript11.3k3657.8k2.2k

• qiao/PathFinding.js

  A comprehensive path-finding library for grid based games

  Language:JavaScript8.5k2461461.3k

• songyingxin/NLPer-Interview

  该仓库主要记录 NLP 算法工程师相关的面试题

  2.6k556508

• krishnaik06/Interview-Prepartion-Data-Science

  Language:Jupyter Notebook974410645

• gender-bias/gender-bias

  Reading for gender bias

  Language:Python90163431

• zhaojishun/GenderBiasPapers

  Must-read Papers on Gender Bias.

  324014

• Haswf/ComputerSystemNote

  Lecture Note for COMP30023 Computer System at The University of Melbourne

  18102

• kanekomasahiro/gp_debias

  Language:Python16302

• ZavierYang/N-gram-model-for-Hangman-game

  Use different orders of N-gram model to play Hangman game.

  Language:Python16106

• comp90015/tutes

  University of Melbourne COMP90015 Distributed Systems Code Challenges (Weeks 2-8,11)

  Language:Java1415

• ryanyuan42/transformer-hangman-bot

  Using the idea of BERT to play a hangman game

  Language:Python133

• kvoli/fun-with-friends

  CRUD Registry App. Node/React/Mongo. Containerized and available on Dockerhub. Testing on TravisCI.

  Language:JavaScript8428

• jaddoughman/Gender-Bias-Datasets-Lexicons

  Language has a profound impact on our thoughts, perceptions, and conceptions of gender roles. Gender-inclusive language is, therefore, a key tool to promote social inclusion and contribute to achieving gender equality. Consequently, detecting and mitigating gender bias in texts is instrumental in halting its propagation and societal implications. However, there is a lack of gender bias datasets and lexicons for automating the detection of gender bias using supervised and unsupervised machine learning (ML) and natural language processing (NLP) techniques. Therefore, the main contribution of this work is to publicly provide labeled datasets and exhaustive lexicons by collecting, annotating, and augmenting relevant sentences to facilitate the detection of gender bias in English text. Towards this end, we present an updated version of our previously proposed taxonomy by re-formalizing its structure, adding a new bias type, and mapping each bias subtype to an appropriate detection methodology. The released datasets and lexicons span multiple bias subtypes including: Generic He, Generic She, Explicit Marking of Sex, and Gendered Neologisms. We leveraged the use of word embedding models to further augment the collected lexicons. The underlying motivation of our work is to enable the technical community to combat gender bias in text and halt its propagation using ML and NLP techniques.

  6100

• boooooommmmmm/ISYS90039-Innovation-Entrepreneurship-in-IT

  3201

• uchicago-sandlab/gender_bias

  2100