Shan Dou (shandou)

shandou

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Location:Vancouver, Canada

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Shan Dou's repositories

MLND_capstone

Capstone project implementation, report, and proposal for Udacity Machine Learning Engineer Nanodegree

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.tmux

🇫🇷 Oh My Tmux! Pretty & versatile tmux configuration made with (imho the best tmux configuration that just works)

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blog-binary-classification-metrics

Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"

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Categorical_similarity_measures

Library for python community to find the similarity or distance between two entities containing categorical data

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Deep-Semantic-Similarity-Model-PyTorch

My PyTorch implementation of the Deep Semantic Similarity Model (DSSM)/Convolutional Latent Semantic Model (CLSM) described here: http://research.microsoft.com/pubs/226585/cikm2014_cdssm_final.pdf.

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dotfiles

various tooling configs

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Facial-Similarity-with-Siamese-Networks-in-Pytorch

Implementing Siamese networks with a contrastive loss for similarity learning

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feature-engineering-book

Code repo for the book "Feature Engineering for Machine Learning," by Alice Zheng and Amanda Casari, O'Reilly 2018

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gensim-data

Data repository for pretrained NLP models and NLP corpora.

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geotext

Geotext extracts country and city mentions from text

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kaggle-HomeDepot

3rd Place Solution for HomeDepot Product Search Results Relevance Competition on Kaggle.

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LSTM-siamese

Siamese-LSTM PyTorch Implementation for cikm 2018

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nboost

NBoost is a scalable, search-api-boosting platform for deploying transformer models to improve the relevance of search results on different platforms (i.e. Elasticsearch)

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numerical-linear-algebra

Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course

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preDict

Lightning fast spell correction / fuzzy search library based on SymSpell by Commerce-Experts

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pregex

Probabilistic regular expressions

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probability_cheatsheet

A comprehensive 10-page probability cheatsheet that covers a semester's worth of introduction to probability.

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pydata_nyc2018-intro-to-model-interpretability

Notebook and slides for my talk at Pydata NYC 2018

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python-cheat-sheets

IPython notebooks demonstrating useful Python code snippets and functionality

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pytorch-examples

Starting with deep learning and PyTorch

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query-segmenter

Query Segmentation for search

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scikit-hts-examples

Example usage of scikit-hts

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statistics-in-R-data-sets

Data sets from book; also available on Sage website

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tidytuesday

Official repo for the #tidytuesday project

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XGBoost-lambdaMART

Running LambdaMART using XGBoost

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