scofieldwang23 Goto Github PK

100-nlp-papers

100 Must-Read NLP Papers

algorithm-practice-in-industry

搜索、推荐、广告、用增等工业界实践文章收集（来源：知乎、Datafuntalk、技术公众号）

codehelp

Code tutorials

comsw4995_007_2018_3

cs-notes

:books: Computer Science Learning Notes

cs231n_spring_2017_assignment

My implementations of cs231n 2017

es6tutorial

《ECMAScript 6入门》是一本开源的 JavaScript 语言教程，全面介绍 ECMAScript 6 新增的语法特性。

eventrecommendation

eyegazepipeline

This is our teamwork for Capstone at Columbia DSI with JP morgan

fbpcs

FBPCS (Facebook Private Computation Solutions) leverages secure multi-party computation (MPC) to output aggregated data without making unencrypted, readable data available to the other party or any third parties. Facebook provides impression & opportunity data, and the advertiser provides conversion / outcome data. Both parties have dedicated cloud computing instances living on separate Virtual Private Clouds (VPCs) that are connected to allow network communication. The FBPMP products that have been implemented are Private Lift and Private Attribution. It’s expected that more products will be implemented and added to the Private Measurement suite.

freeml

Data Science Resources (Mostly Free)

hands_on_data-science

This repo is about the tech stack needed to be a data scientist, it mainly focus on the self-implementation of basic ML/DL models and their application using related python packages

kkbox-s-music-recommendation-challenge

machine-learning-in-action

个人使用jupyter notebook整理的peter的《机器学习实战》代码，使其更有层次感，更加连贯，也加了一些自己的修改，以及注释

nlp_march

opennre

Neural Relation Extraction implemented in TensorFlow

pydata-book

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

pythonspidernotes

Python入门网络爬虫之精华版

pytorch-tutorial

PyTorch Tutorial for Deep Learning Researchers

restaurant-visitor-forecasting

Kaggle Featured Prediction Competition

scofieldwang23.github.io

search

Test framework.

simple_nlp_in_python

stanford-cs-229-machine-learning

VIP cheatsheets for Stanford's CS 229 Machine Learning

tutorial-of-gganimate