Joshua Jin (jinwangjoshua)

jinwangjoshua

Geek Repo

Company:Northeastern university

Location:Boston

Github PK Tool:Github PK Tool

Joshua Jin's repositories

IJCAI_2018_Alimama_CTR

:fuelpump: CVR Prediction Competition Solution of Taobao Search Ads

Language:PythonStargazers:5Issues:1Issues:0

Opinio-Extraction

Opinion Extraction based on Amazon Reviews

Language:Jupyter NotebookLicense:MITStargazers:5Issues:1Issues:0

2018Wayfair_Datathon_3rd_Solution

This is the 3rd solution for Datathon host by Wayfair, a ecommerce company in Boston.

Language:Jupyter NotebookStargazers:3Issues:1Issues:0

Fuzzy-match-on-listed-companies

:boat: Are you public, dear company?

Language:PythonStargazers:3Issues:1Issues:0

leetcode_py

:whale: Leetcode Practice with Python3

Language:Jupyter NotebookStargazers:2Issues:1Issues:0

996.ICU

Repo for counting stars and contributing. Press F to pay respect to glorious developers.

License:NOASSERTIONStargazers:1Issues:1Issues:0

sentiment-analysis

Multilingual sentiment analysis for English, German, French and Italian.

Language:Jupyter NotebookLicense:Apache-2.0Stargazers:1Issues:2Issues:0

Sentiment-Analysis-Twitter

:mortar_board:RESEARCH [NLP :thought_balloon:] We use different feature sets and machine learning classifiers to determine the best combination for sentiment analysis of twitter.

Language:PythonStargazers:1Issues:2Issues:0

Times-Series-Analysis-of-Stock

moneybag Time Series Analysis to Predict Amazon Stock Price https://finance.yahoo.com/quote/AMZN/

Language:Jupyter NotebookLicense:MITStargazers:1Issues:1Issues:0

autokeras

This is an automated machine learning (AutoML) package.

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

FeatureX-Amazon-Feature-Opinion-Mining

This project crawls Amazon reviews and extracts features and opinions to calculate a feature based rating of every product (mainly smartphones) Done with python, pyqt5

Language:HTMLStargazers:0Issues:1Issues:0

finetune-transformer-lm

Code and model for the paper "Improving Language Understanding by Generative Pre-Training"

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

GraphEmbedding

Implementation and experiments of graph embedding algorithms.deep walk,LINE(Large-scale Information Network Embedding),node2vec,SDNE(Structural Deep Network Embedding),struc2vec

Language:PythonLicense:MITStargazers:0Issues:2Issues:0

gspread

Google Spreadsheets Python API

Language:PythonLicense:MITStargazers:0Issues:0Issues:0

gt-nlp-class

Course materials for Georgia Tech CS 4650 and 7650, "Natural Language"

Language:TeXStargazers:0Issues:0Issues:0

h2o-3

Open Source Fast Scalable Machine Learning Platform For Smarter Applications (Deep Learning, Gradient Boosting, Random Forest, Generalized Linear Modeling (Logistic Regression, Elastic Net), K-Means, PCA, Stacked Ensembles, Automatic Machine Learning (AutoML), ...)

Language:JavaLicense:Apache-2.0Stargazers:0Issues:1Issues:0

hadoop-cluster-docker

Run Hadoop Custer within Docker Containers

Language:ShellLicense:Apache-2.0Stargazers:0Issues:1Issues:0

jellyfish

🎐 a python library for doing approximate and phonetic matching of strings.

Language:PythonLicense:BSD-2-ClauseStargazers:0Issues:1Issues:0

keras

Deep Learning for humans

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0

LearnBasicBigDataTech

:rocket:Some projects on Big Data Analysis like Spark, Hive, Presto and Data Visualization like Superset

Language:JavaStargazers:0Issues:0Issues:0

MachineLearning

Machine learning resources,including algorithm, paper, dataset, example and so on.

Language:PythonStargazers:0Issues:0Issues:0

ML-Tutorial-Experiment

Coding the Machine Learning Tutorial for Learning to Learn

Language:Jupyter NotebookStargazers:0Issues:1Issues:0

MovieLens-RecSys

基于MovieLens-1M数据集实现的协同过滤算法demo

Language:PythonStargazers:0Issues:1Issues:0

pylift

Transformation-based uplift modeling package.

Language:PythonLicense:BSD-2-ClauseStargazers:0Issues:1Issues:0

Review_Summarization-Aspect_based_opinion_mining

Summarize opinions of users about a product from a set of reviews. Extract the most common product features mentioned, most common opinion words used for a feature and the corresponding positive and negitive opinions about related to the feature and opinions. This way it becomes extremely easy to identify the most prominent positive and negitive features and opinions about a product.

Language:Jupyter NotebookStargazers:0Issues:1Issues:0

SparkInternals

Notes talking about the design and implementation of Apache Spark

Stargazers:0Issues:0Issues:0

tensorflow-DSMM

Tensorflow implementations of various Deep Semantic Matching Models

Language:PythonLicense:MITStargazers:0Issues:1Issues:0

textacy

NLP, before and after spaCy

Language:PythonLicense:NOASSERTIONStargazers:0Issues:1Issues:0

yellowbrick

Visual analysis and diagnostic tools to facilitate machine learning model selection.

Language:PythonLicense:Apache-2.0Stargazers:0Issues:1Issues:0

Yelp_Challenge

Yelp dataset challenge: NLP & sentiment analysis

Language:HTMLStargazers:0Issues:1Issues:0