yangjie527

yangjie527's Stars

• tensorflow/tensorflow

  An Open Source Machine Learning Framework for Everyone

  Language:C++186k7.6k39.9k74.3k

• piskvorky/gensim

  Topic Modelling for Humans

  Language:Python15.7k4291.8k4.4k

• nfmcclure/tensorflow_cookbook

  Code for Tensorflow Machine Learning Cookbook

  Language:Jupyter Notebook6.2k332992.4k

• ryankiros/skip-thoughts

  Sent2Vec encoder and training code from the paper "Skip-Thought Vectors"

  Language:Python2k10686543

• bmabey/pyLDAvis

  Python library for interactive topic model visualization. Port of the R LDAvis package.

  Language:Jupyter Notebook1.8k47191363

• tolga-b/debiaswe

  Remove problematic gender bias from word embeddings.

  Language:Jupyter Notebook2438688

• sanyam5/skip-thoughts

  The first public PyTorch implementation of Skip-Thought Vectors

  Language:Python2267947

• dominiek/word2vec-explorer

  Tool for exploring Word Vector models

  Language:JavaScript17811744

• nikhgarg/EmbeddingDynamicStereotypes

  Language:Python1598541

• stared/tag-graph-map-of-stackexchange

  Generates map in form of a graph from tags on StackExchange sites, e.g. StackOverflow.

  Language:Python53907

• abrazinskas/BSG

  Bayesian Skip-gram model

  Language:Python47412

• PolicyStat/docx2html

  Convert a docx (OOXML) file to html. This project is deprecated in favor of https://github.com/OpenScienceFramework/pydocx

  Language:Python459014

• enesozi/Credit-Risk-Analysis

  Language:Jupyter Notebook364029

• DTUComputeStatisticsAndDataAnalysis/MBPLS

  (Multiblock) Partial Least Squares Regression for Python

  Language:Python29297

• mllewis/IATLANG

  Gender stereotypes are reflected in the distributional structure of 25 languages

  Language:HTML17500

• DfAC/IntroductionToRecommenderSystems

  Language:Jupyter Notebook6306

• MediaUncovered/NewsAnalysis

  use word embeddings to uncover bias in newspapers

  Language:Python53221

• mikecunha/pydata2017

  Slides and code for talk: Addressing Prejudice in Text Data presented as PyData 2017 in NYC

  Language:Jupyter Notebook5101

• vwoloszyn/bias_on_word2vec

  Man is to Computer Programmer as Woman is to Homemaker??? Debasing Portuguese Language Models.

  Language:Jupyter Notebook5301

• lukovkin/linex-keras

  Language:Python4212

• ebritoc/gaussian_word_embeddings

  Language:C3100

• lint0011/FYP_rerunKM

  Language:Python3000

• ruhulsbu/WEAT4TwitterGroups

  Word Embedding Association Test for Twitter Groups

  Language:Python31

• LukeFarrell/Word-Embeddings

  Analyzing racial, gender, and religious bias in word embedding models constructed from different media corpuses

  Language:Python2100

• bpshaver/StackExchangeClassification

  Web Scraping and Text Classification of Questions Asked on Stack Exchange

  Language:Jupyter Notebook1202

• GRichard513/AxaChallenge

  Language:Jupyter Notebook110

• LaRiffle/axa_challenge

  Prediction of phone calls in the Axa Data Challenge - Winner team, 2017

  Language:Python110

• nidtiw/Gender-Bias-Word-Embeddings

  Exploring Gender bias and other prejudice in word embeddings

  Language:MATLAB1100

• RanaivosonHerimanitra/AXA-challenge

  Language:Python1206

• valexandra/serious_software_game_clients

  All materials for the Software game

  Language:Java1001