CSerxy/word2vec-twitter
Word2Vec 400M Tweets Embedding model based on https://www.fredericgodin.com/software/
Research Scientist at Apple | Ph.D. from University of Michigan
Repositories
CSerxy/IdentifyShifts
The official implementation of the SIGIR'18 paper "Identify Shifts of Word Semantics through Bayesian Surprise"
CSerxy/JMARS
Jointly Modelling Aspects, Ratings and Sentiments for Movie Recommendation (JMARS)
CSerxy/hexo
A fast, simple & powerful blog framework, powered by Node.js.
CSerxy/domainShiftVisualization
lazy to use scp
CSerxy/545-final-project-FS-implementation
This is the implementation of 4 tradition feature selection algorithms and 6 SSFS methods.
CSerxy/TensorFlow-Course
Simple and ready-to-use tutorials for TensorFlow
CSerxy/bert
TensorFlow code and pre-trained models for BERT
CSerxy/architect-awesome
后端架构师技术图谱
CSerxy/irgan
IRGAN SIGIR paper experimental code
CSerxy/nmslib
Non-Metric Space Library (NMSLIB): A similarity search library and a toolkit for evaluation of k-NN methods for generic non-metric spaces.
CSerxy/wayback-machine-downloader
Download an entire website from the Wayback Machine.
CSerxy/models
Models and examples built with TensorFlow
CSerxy/chinese-poetry
最全中华古诗词数据库, 唐宋两朝近一万四千古诗人, 接近5.5万首唐诗加26万宋诗. 两宋时期1564位词人，21050首词。
CSerxy/NRLPapers
Must-read papers on network representation learning (NRL)/network embedding (NE)
CSerxy/OpenNE
An Open-Source Package for Network Embedding (NE)
CSerxy/ann-benchmarks
Benchmarks of approximate nearest neighbor libraries in Python
CSerxy/LargeVis
CSerxy/Qix
Machine Learning、Deep Learning、PostgreSQL、Distributed System、Node.Js、Golang
CSerxy/Image_Information_Detect_Experiment
All the experiment files of this courses.
CSerxy/fast-stemmer
Fast Porter stemmer based on a C version of the algorithm
CSerxy/langchangetrack
Package for Statistically significant linguistic change
CSerxy/LINE
LINE: Large-scale information network embedding
CSerxy/High-precision
CSerxy/DH
Implement DH algorithm by using high precision.
CSerxy/homebrew
The missing package manager for OS X.