shandou Goto Github PK
Name: Shan Dou
Type: User
Bio: MLE
Location: Vancouver, Canada
Name: Shan Dou
Type: User
Bio: MLE
Location: Vancouver, Canada
🇫🇷 Oh My Tmux! Pretty & versatile tmux configuration made with (imho the best tmux configuration that just works)
Example 📓 Jupyter notebooks that demonstrate how to build, train, and deploy machine learning models using 🧠 Amazon SageMaker.
A curated list of awesome machine learning interpretability resources.
Awesome Search - this is all about the (e-commerce) search and its awesomeness
Codebase for the blog post "24 Evaluation Metrics for Binary Classification (And When to Use Them)"
Library for python community to find the similarity or distance between two entities containing categorical data
Code for CEDR: Contextualized Embeddings for Document Ranking, accepted at SIGIR 2019.
Clean Code in Python, published by Packt
check code for common misspellings
Contains all of the queries used within the Complete Guide to Elasticsearch course.
OS-agnostic, system-level binary package manager and ecosystem
A Code-First Introduction to NLP course
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.
【PyTorch】Easy-to-use,Modular and Extendible package of deep-learning based CTR models.
This repository contains my full work and notes on Coursera's NLP Specialization (Natural Language Processing) taught by the instructor Younes Bensouda Mourri and Łukasz Kaiser offered by deeplearning.ai
Example Repo for the Udemy Course "Deployment of Machine Learning Models"
An ultra-simplified explanation to design patterns
Python scripts for training/testing paragraph vectors
various tooling configs
An industrial-grade implementation of DSSM
A collection of corpora for named entity recognition (NER) and entity recognition tasks. These annotated datasets cover a variety of languages, domains and entity types.
C++ library for audio and music analysis, description and synthesis, including Python bindings
An Extensible and Unified Platform for Evaluating Geoparsers
match command-line arguments to their help text
Implementing Siamese networks with a contrastive loss for similarity learning
Identify bias and measure fairness of your data
A library for efficient similarity search and clustering of dense vectors.
The fastai book, published as Jupyter Notebooks
A declarative, efficient, and flexible JavaScript library for building user interfaces.
🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.
TypeScript is a superset of JavaScript that compiles to clean JavaScript output.
An Open Source Machine Learning Framework for Everyone
The Web framework for perfectionists with deadlines.
A PHP framework for web artisans
Bring data to life with SVG, Canvas and HTML. 📊📈🎉
JavaScript (JS) is a lightweight interpreted programming language with first-class functions.
Some thing interesting about web. New door for the world.
A server is a program made to process requests and deliver data to clients.
Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.
Some thing interesting about visualization, use data art
Some thing interesting about game, make everyone happy.
We are working to build community through open source technology. NB: members must have two-factor auth.
Open source projects and samples from Microsoft.
Google ❤️ Open Source for everyone.
Alibaba Open Source for everyone
Data-Driven Documents codes.
China tencent open source team.